Classification Conditional Random Forest Learner

A random forest based on conditional inference trees (partykit::ctree()). Calls partykit::cforest() from partykit.

Dictionary

This Learner can be instantiated via lrn():

lrn("classif.cforest")

Meta Information

• Task type: “classif”

• Predict Types: “response”, “prob”

• Feature Types: “integer”, “numeric”, “factor”, “ordered”

• Required Packages: mlr3, mlr3extralearners, partykit, sandwich, coin

Parameters

Id	Type	Default	Levels	Range
ntree	integer	500		\([1, \infty)\)
replace	logical	FALSE	TRUE, FALSE	-
fraction	numeric	0.632		\([0, 1]\)
mtry	integer	-		\([0, \infty)\)
mtryratio	numeric	-		\([0, 1]\)
applyfun	untyped	-		-
cores	integer	NULL		\((-\infty, \infty)\)
trace	logical	FALSE	TRUE, FALSE	-
cluster	untyped	-		-
scores	untyped	-		-
teststat	character	quadratic	quadratic, maximum	-
splitstat	character	quadratic	quadratic, maximum	-
splittest	logical	FALSE	TRUE, FALSE	-
testtype	character	Univariate	Bonferroni, MonteCarlo, Univariate, Teststatistic	-
nmax	untyped	-		-
pargs	untyped	-		-
alpha	numeric	0.05		\([0, 1]\)
mincriterion	numeric	0		\([0, 1]\)
logmincriterion	numeric	0		\((-\infty, \infty)\)
minsplit	integer	20		\([1, \infty)\)
minbucket	integer	7		\([1, \infty)\)
minprob	numeric	0.01		\([0, 1]\)
stump	logical	FALSE	TRUE, FALSE	-
lookahead	logical	FALSE	TRUE, FALSE	-
MIA	logical	FALSE	TRUE, FALSE	-
nresample	integer	9999		\([1, \infty)\)
tol	numeric	1.490116e-08		\([0, \infty)\)
maxsurrogate	integer	0		\([0, \infty)\)
numsurrogate	logical	FALSE	TRUE, FALSE	-
maxdepth	integer	Inf		\([0, \infty)\)
multiway	logical	FALSE	TRUE, FALSE	-
splittry	integer	2		\([0, \infty)\)
intersplit	logical	FALSE	TRUE, FALSE	-
majority	logical	FALSE	TRUE, FALSE	-
caseweights	logical	TRUE	TRUE, FALSE	-
saveinfo	logical	FALSE	TRUE, FALSE	-
update	logical	FALSE	TRUE, FALSE	-
splitflavour	character	ctree	ctree, exhaustive	-
maxvar	integer	-		\([1, \infty)\)
OOB	logical	FALSE	TRUE, FALSE	-
simplify	logical	TRUE	TRUE, FALSE	-
scale	logical	TRUE	TRUE, FALSE	-
nperm	integer	1		\([0, \infty)\)
risk	character	loglik	loglik, misclassification	-
conditional	logical	FALSE	TRUE, FALSE	-
threshold	numeric	0.2		\((-\infty, \infty)\)

Custom mlr3 parameters

• mtry:

  • This hyperparameter can alternatively be set via the added hyperparameter mtryratio as mtry = max(ceiling(mtryratio * n_features), 1). Note that mtry and mtryratio are mutually exclusive.

References

Hothorn T, Zeileis A (2015). “partykit: A Modular Toolkit for Recursive Partytioning in R.” Journal of Machine Learning Research, 16(118), 3905-3909. http://jmlr.org/papers/v16/hothorn15a.html.

Hothorn T, Hornik K, Zeileis A (2006). “Unbiased Recursive Partitioning: A Conditional Inference Framework.” Journal of Computational and Graphical Statistics, 15(3), 651–674. doi:10.1198/106186006x133933 , https://doi.org/10.1198/106186006x133933.

See also

• Dictionary of Learners: mlr3::mlr_learners.

• as.data.table(mlr_learners) for a table of available Learners in the running session (depending on the loaded packages).

• Chapter in the mlr3book: https://mlr3book.mlr-org.com/chapters/chapter2/data_and_basic_modeling.html#sec-learners

• mlr3learners for a selection of recommended learners.

• mlr3cluster for unsupervised clustering learners.

• mlr3pipelines to combine learners with pre- and postprocessing steps.

• mlr3tuning for tuning of hyperparameters, mlr3tuningspaces for established default tuning spaces.

Author

sumny

Super classes

mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifCForest

Methods

Public methods

• LearnerClassifCForest$new()

• LearnerClassifCForest$oob_error()

• LearnerClassifCForest$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$configure()
• mlr3::Learner$encapsulate()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$print()
• mlr3::Learner$reset()
• mlr3::Learner$selected_features()
• mlr3::Learner$train()
• mlr3::LearnerClassif$predict_newdata_fast()

---

LearnerClassifCForest$new()

Creates a new instance of this R6 class.

Usage

LearnerClassifCForest$new()

---

LearnerClassifCForest$oob_error()

The importance scores are calculated using partykit::varimp().

The out-of-bag error, calculated using the OOB predictions from partykit.

Usage

LearnerClassifCForest$oob_error()

Returns

numeric(1).

---

LearnerClassifCForest$clone()

The objects of this class are cloneable with this method.

Usage

LearnerClassifCForest$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

# Define the Learner
learner = lrn("classif.cforest", ntree = 50L)
print(learner)
#> 
#> ── <LearnerClassifCForest> (classif.cforest): Conditional Random Forest ────────
#> • Model: -
#> • Parameters: ntree=50, teststat=quadratic, testtype=Univariate,
#> mincriterion=0, saveinfo=FALSE
#> • Packages: mlr3, mlr3extralearners, partykit, sandwich, and coin
#> • Predict Types: [response] and prob
#> • Feature Types: integer, numeric, factor, and ordered
#> • Encapsulation: none (fallback: -)
#> • Properties: multiclass, oob_error, twoclass, and weights
#> • Other settings: use_weights = 'use', predict_raw = 'FALSE'

# Define a Task
task = tsk("sonar")

# Create train and test set
ids = partition(task)

# Train the learner on the training ids
learner$train(task, row_ids = ids$train)

print(learner$model)
#> $nodes
#> $nodes[[1]]
#> [1] root
#> |   [2] V61 <= 0.1593
#> |   |   [3] V43 <= 0.1482
#> |   |   |   [4] V40 <= 0.247
#> |   |   |   |   [5] V46 <= 0.061 *
#> |   |   |   |   [6] V46 > 0.061 *
#> |   |   |   [7] V40 > 0.247 *
#> |   |   [8] V43 > 0.1482 *
#> |   [9] V61 > 0.1593
#> |   |   [10] V10 <= 0.4221 *
#> |   |   [11] V10 > 0.4221 *
#> 
#> $nodes[[2]]
#> [1] root
#> |   [2] V41 <= 0.3212
#> |   |   [3] V30 <= 0.2849
#> |   |   |   [4] V31 <= 0.1956
#> |   |   |   |   [5] V35 <= 0.0539 *
#> |   |   |   |   [6] V35 > 0.0539 *
#> |   |   |   [7] V31 > 0.1956 *
#> |   |   [8] V30 > 0.2849
#> |   |   |   [9] V4 <= 0.2476
#> |   |   |   |   [10] V42 <= 0.1633 *
#> |   |   |   |   [11] V42 > 0.1633 *
#> |   |   |   [12] V4 > 0.2476 *
#> |   [13] V41 > 0.3212 *
#> 
#> $nodes[[3]]
#> [1] root
#> |   [2] V43 <= 0.0465 *
#> |   [3] V43 > 0.0465
#> |   |   [4] V3 <= 0.136
#> |   |   |   [5] V13 <= 0.0403 *
#> |   |   |   [6] V13 > 0.0403 *
#> |   |   [7] V3 > 0.136
#> |   |   |   [8] V10 <= 0.6441
#> |   |   |   |   [9] V44 <= 0.095 *
#> |   |   |   |   [10] V44 > 0.095
#> |   |   |   |   |   [11] V26 <= 0.4091 *
#> |   |   |   |   |   [12] V26 > 0.4091 *
#> |   |   |   [13] V10 > 0.6441 *
#> 
#> $nodes[[4]]
#> [1] root
#> |   [2] V44 <= 0.0755
#> |   |   [3] V27 <= 0.4855
#> |   |   |   [4] V11 <= 0.2849 *
#> |   |   |   [5] V11 > 0.2849 *
#> |   |   [6] V27 > 0.4855 *
#> |   [7] V44 > 0.0755
#> |   |   [8] V57 <= 0.1323
#> |   |   |   [9] V61 <= 0.1147 *
#> |   |   |   [10] V61 > 0.1147
#> |   |   |   |   [11] V26 <= 0.4241 *
#> |   |   |   |   [12] V26 > 0.4241 *
#> |   |   [13] V57 > 0.1323 *
#> 
#> $nodes[[5]]
#> [1] root
#> |   [2] V61 <= 0.1571
#> |   |   [3] V6 <= 0.1908 *
#> |   |   [4] V6 > 0.1908
#> |   |   |   [5] V56 <= 0.006 *
#> |   |   |   [6] V56 > 0.006 *
#> |   [7] V61 > 0.1571
#> |   |   [8] V32 <= 0.4331
#> |   |   |   [9] V15 <= 0.5187 *
#> |   |   |   [10] V15 > 0.5187
#> |   |   |   |   [11] V8 <= 0.5027 *
#> |   |   |   |   [12] V8 > 0.5027 *
#> |   |   [13] V32 > 0.4331 *
#> 
#> $nodes[[6]]
#> [1] root
#> |   [2] V6 <= 0.1542
#> |   |   [3] V42 <= 0.1433 *
#> |   |   [4] V42 > 0.1433 *
#> |   [5] V6 > 0.1542
#> |   |   [6] V41 <= 0.3017
#> |   |   |   [7] V54 <= 0.0054
#> |   |   |   |   [8] V5 <= 0.2115 *
#> |   |   |   |   [9] V5 > 0.2115 *
#> |   |   |   [10] V54 > 0.0054
#> |   |   |   |   [11] V53 <= 0.0076 *
#> |   |   |   |   [12] V53 > 0.0076 *
#> |   |   [13] V41 > 0.3017 *
#> 
#> $nodes[[7]]
#> [1] root
#> |   [2] V5 <= 0.1554
#> |   |   [3] V51 <= 0.0026 *
#> |   |   [4] V51 > 0.0026 *
#> |   [5] V5 > 0.1554
#> |   |   [6] V48 <= 0.0118
#> |   |   |   [7] V21 <= 0.6981 *
#> |   |   |   [8] V21 > 0.6981 *
#> |   |   [9] V48 > 0.0118
#> |   |   |   [10] V39 <= 0.1847 *
#> |   |   |   [11] V39 > 0.1847 *
#> 
#> $nodes[[8]]
#> [1] root
#> |   [2] V40 <= 0.2808
#> |   |   [3] V5 <= 0.2237
#> |   |   |   [4] V46 <= 0.0679
#> |   |   |   |   [5] V19 <= 0.6217 *
#> |   |   |   |   [6] V19 > 0.6217 *
#> |   |   |   [7] V46 > 0.0679 *
#> |   |   [8] V5 > 0.2237
#> |   |   |   [9] V31 <= 0.4694
#> |   |   |   |   [10] V39 <= 0.2129 *
#> |   |   |   |   [11] V39 > 0.2129 *
#> |   |   |   [12] V31 > 0.4694 *
#> |   [13] V40 > 0.2808 *
#> 
#> $nodes[[9]]
#> [1] root
#> |   [2] V4 <= 0.1063
#> |   |   [3] V24 <= 0.0308 *
#> |   |   [4] V24 > 0.0308 *
#> |   [5] V4 > 0.1063
#> |   |   [6] V34 <= 0.3009
#> |   |   |   [7] V29 <= 0.4988
#> |   |   |   |   [8] V31 <= 0.1817 *
#> |   |   |   |   [9] V31 > 0.1817 *
#> |   |   |   [10] V29 > 0.4988 *
#> |   |   [11] V34 > 0.3009
#> |   |   |   [12] V42 <= 0.2518
#> |   |   |   |   [13] V53 <= 0.0095 *
#> |   |   |   |   [14] V53 > 0.0095 *
#> |   |   |   [15] V42 > 0.2518 *
#> 
#> $nodes[[10]]
#> [1] root
#> |   [2] V41 <= 0.1421
#> |   |   [3] V44 <= 0.0748
#> |   |   |   [4] V12 <= 0.5824 *
#> |   |   |   [5] V12 > 0.5824 *
#> |   |   [6] V44 > 0.0748 *
#> |   [7] V41 > 0.1421
#> |   |   [8] V15 <= 0.6484
#> |   |   |   [9] V61 <= 0.1466 *
#> |   |   |   [10] V61 > 0.1466 *
#> |   |   [11] V15 > 0.6484
#> |   |   |   [12] V9 <= 0.5543
#> |   |   |   |   [13] V46 <= 0.1276 *
#> |   |   |   |   [14] V46 > 0.1276 *
#> |   |   |   [15] V9 > 0.5543 *
#> 
#> $nodes[[11]]
#> [1] root
#> |   [2] V45 <= 0.0422
#> |   |   [3] V46 <= 0.0681
#> |   |   |   [4] V4 <= 0.1606 *
#> |   |   |   [5] V4 > 0.1606 *
#> |   |   [6] V46 > 0.0681 *
#> |   [7] V45 > 0.0422
#> |   |   [8] V3 <= 0.1199 *
#> |   |   [9] V3 > 0.1199
#> |   |   |   [10] V23 <= 0.5009 *
#> |   |   |   [11] V23 > 0.5009
#> |   |   |   |   [12] V9 <= 0.4499 *
#> |   |   |   |   [13] V9 > 0.4499 *
#> 
#> $nodes[[12]]
#> [1] root
#> |   [2] V2 <= 0.0365
#> |   |   [3] V16 <= 0.7676
#> |   |   |   [4] V42 <= 0.1704
#> |   |   |   |   [5] V44 <= 0.0379 *
#> |   |   |   |   [6] V44 > 0.0379 *
#> |   |   |   [7] V42 > 0.1704 *
#> |   |   [8] V16 > 0.7676
#> |   |   |   [9] V39 <= 0.1266 *
#> |   |   |   [10] V39 > 0.1266 *
#> |   [11] V2 > 0.0365
#> |   |   [12] V48 <= 0.014 *
#> |   |   [13] V48 > 0.014 *
#> 
#> $nodes[[13]]
#> [1] root
#> |   [2] V4 <= 0.1609
#> |   |   [3] V43 <= 0.1096 *
#> |   |   [4] V43 > 0.1096 *
#> |   [5] V4 > 0.1609
#> |   |   [6] V31 <= 0.2489
#> |   |   |   [7] V12 <= 0.7917 *
#> |   |   |   [8] V12 > 0.7917 *
#> |   |   [9] V31 > 0.2489
#> |   |   |   [10] V39 <= 0.3431 *
#> |   |   |   [11] V39 > 0.3431 *
#> 
#> $nodes[[14]]
#> [1] root
#> |   [2] V13 <= 0.0713
#> |   |   [3] V45 <= 0.0452
#> |   |   |   [4] V17 <= 0.7022
#> |   |   |   |   [5] V21 <= 0.8594 *
#> |   |   |   |   [6] V21 > 0.8594 *
#> |   |   |   [7] V17 > 0.7022 *
#> |   |   [8] V45 > 0.0452
#> |   |   |   [9] V19 <= 0.578 *
#> |   |   |   [10] V19 > 0.578 *
#> |   [11] V13 > 0.0713 *
#> 
#> $nodes[[15]]
#> [1] root
#> |   [2] V45 <= 0.0285
#> |   |   [3] V23 <= 0.632 *
#> |   |   [4] V23 > 0.632 *
#> |   [5] V45 > 0.0285
#> |   |   [6] V41 <= 0.1683
#> |   |   |   [7] V31 <= 0.5188
#> |   |   |   |   [8] V16 <= 0.6628 *
#> |   |   |   |   [9] V16 > 0.6628 *
#> |   |   |   [10] V31 > 0.5188 *
#> |   |   [11] V41 > 0.1683
#> |   |   |   [12] V10 <= 0.6011
#> |   |   |   |   [13] V9 <= 0.1745 *
#> |   |   |   |   [14] V9 > 0.1745 *
#> |   |   |   [15] V10 > 0.6011 *
#> 
#> $nodes[[16]]
#> [1] root
#> |   [2] V44 <= 0.0755
#> |   |   [3] V12 <= 0.4327 *
#> |   |   [4] V12 > 0.4327
#> |   |   |   [5] V17 <= 0.8057 *
#> |   |   |   [6] V17 > 0.8057 *
#> |   [7] V44 > 0.0755
#> |   |   [8] V31 <= 0.4373
#> |   |   |   [9] V12 <= 0.7726 *
#> |   |   |   [10] V12 > 0.7726 *
#> |   |   [11] V31 > 0.4373
#> |   |   |   [12] V51 <= 0.0159 *
#> |   |   |   [13] V51 > 0.0159 *
#> 
#> $nodes[[17]]
#> [1] root
#> |   [2] V49 <= 0.0088
#> |   |   [3] V43 <= 0.0452 *
#> |   |   [4] V43 > 0.0452
#> |   |   |   [5] V22 <= 0.6613 *
#> |   |   |   [6] V22 > 0.6613 *
#> |   [7] V49 > 0.0088
#> |   |   [8] V47 <= 0.0217
#> |   |   |   [9] V5 <= 0.1245 *
#> |   |   |   [10] V5 > 0.1245
#> |   |   |   |   [11] V36 <= 0.4441 *
#> |   |   |   |   [12] V36 > 0.4441 *
#> |   |   [13] V47 > 0.0217 *
#> 
#> $nodes[[18]]
#> [1] root
#> |   [2] V45 <= 0.0412
#> |   |   [3] V27 <= 0.4303 *
#> |   |   [4] V27 > 0.4303
#> |   |   |   [5] V13 <= 0.0281 *
#> |   |   |   [6] V13 > 0.0281 *
#> |   [7] V45 > 0.0412
#> |   |   [8] V39 <= 0.2948
#> |   |   |   [9] V5 <= 0.2555 *
#> |   |   |   [10] V5 > 0.2555 *
#> |   |   [11] V39 > 0.2948 *
#> 
#> $nodes[[19]]
#> [1] root
#> |   [2] V35 <= 0.019 *
#> |   [3] V35 > 0.019
#> |   |   [4] V15 <= 0.6275
#> |   |   |   [5] V4 <= 0.2139 *
#> |   |   |   [6] V4 > 0.2139 *
#> |   |   [7] V15 > 0.6275
#> |   |   |   [8] V54 <= 0.0116
#> |   |   |   |   [9] V27 <= 0.4639
#> |   |   |   |   |   [10] V5 <= 0.2575 *
#> |   |   |   |   |   [11] V5 > 0.2575 *
#> |   |   |   |   [12] V27 > 0.4639 *
#> |   |   |   [13] V54 > 0.0116 *
#> 
#> $nodes[[20]]
#> [1] root
#> |   [2] V48 <= 0.0125
#> |   |   [3] V35 <= 0.0539
#> |   |   |   [4] V12 <= 0.388 *
#> |   |   |   [5] V12 > 0.388 *
#> |   |   [6] V35 > 0.0539 *
#> |   [7] V48 > 0.0125
#> |   |   [8] V61 <= 0.1063 *
#> |   |   [9] V61 > 0.1063
#> |   |   |   [10] V18 <= 0.945
#> |   |   |   |   [11] V15 <= 0.4497 *
#> |   |   |   |   [12] V15 > 0.4497 *
#> |   |   |   [13] V18 > 0.945 *
#> 
#> $nodes[[21]]
#> [1] root
#> |   [2] V30 <= 0.2321
#> |   |   [3] V16 <= 0.6257 *
#> |   |   [4] V16 > 0.6257
#> |   |   |   [5] V49 <= 0.0096 *
#> |   |   |   [6] V49 > 0.0096 *
#> |   [7] V30 > 0.2321
#> |   |   [8] V44 <= 0.1343
#> |   |   |   [9] V2 <= 0.0409
#> |   |   |   |   [10] V31 <= 0.4777 *
#> |   |   |   |   [11] V31 > 0.4777 *
#> |   |   |   [12] V2 > 0.0409 *
#> |   |   [13] V44 > 0.1343 *
#> 
#> $nodes[[22]]
#> [1] root
#> |   [2] V4 <= 0.1579
#> |   |   [3] V45 <= 0.0559
#> |   |   |   [4] V6 <= 0.1908 *
#> |   |   |   [5] V6 > 0.1908 *
#> |   |   [6] V45 > 0.0559 *
#> |   [7] V4 > 0.1579
#> |   |   [8] V23 <= 0.6791
#> |   |   |   [9] V21 <= 0.4969 *
#> |   |   |   [10] V21 > 0.4969 *
#> |   |   [11] V23 > 0.6791
#> |   |   |   [12] V40 <= 0.1867 *
#> |   |   |   [13] V40 > 0.1867 *
#> 
#> $nodes[[23]]
#> [1] root
#> |   [2] V42 <= 0.1948
#> |   |   [3] V35 <= 0.0481
#> |   |   |   [4] V11 <= 0.4563
#> |   |   |   |   [5] V4 <= 0.1475 *
#> |   |   |   |   [6] V4 > 0.1475 *
#> |   |   |   [7] V11 > 0.4563 *
#> |   |   [8] V35 > 0.0481
#> |   |   |   [9] V37 <= 0.3648
#> |   |   |   |   [10] V29 <= 0.2392 *
#> |   |   |   |   [11] V29 > 0.2392 *
#> |   |   |   [12] V37 > 0.3648 *
#> |   [13] V42 > 0.1948 *
#> 
#> $nodes[[24]]
#> [1] root
#> |   [2] V61 <= 0.1063
#> |   |   [3] V56 <= 0.0095 *
#> |   |   [4] V56 > 0.0095 *
#> |   [5] V61 > 0.1063
#> |   |   [6] V44 <= 0.0435 *
#> |   |   [7] V44 > 0.0435
#> |   |   |   [8] V32 <= 0.4331
#> |   |   |   |   [9] V24 <= 0.0392 *
#> |   |   |   |   [10] V24 > 0.0392 *
#> |   |   |   [11] V32 > 0.4331 *
#> 
#> $nodes[[25]]
#> [1] root
#> |   [2] V61 <= 0.1593
#> |   |   [3] V40 <= 0.247
#> |   |   |   [4] V14 <= 0.6433
#> |   |   |   |   [5] V54 <= 0.0105 *
#> |   |   |   |   [6] V54 > 0.0105 *
#> |   |   |   [7] V14 > 0.6433 *
#> |   |   [8] V40 > 0.247 *
#> |   [9] V61 > 0.1593
#> |   |   [10] V32 <= 0.2562
#> |   |   |   [11] V11 <= 0.7577 *
#> |   |   |   [12] V11 > 0.7577 *
#> |   |   [13] V32 > 0.2562 *
#> 
#> $nodes[[26]]
#> [1] root
#> |   [2] V13 <= 0.0149
#> |   |   [3] V41 <= 0.1464 *
#> |   |   [4] V41 > 0.1464 *
#> |   [5] V13 > 0.0149
#> |   |   [6] V2 <= 0.0311
#> |   |   |   [7] V8 <= 0.5369
#> |   |   |   |   [8] V45 <= 0.0208 *
#> |   |   |   |   [9] V45 > 0.0208
#> |   |   |   |   |   [10] V25 <= 0.4999 *
#> |   |   |   |   |   [11] V25 > 0.4999 *
#> |   |   |   [12] V8 > 0.5369 *
#> |   |   [13] V2 > 0.0311
#> |   |   |   [14] V9 <= 0.5325 *
#> |   |   |   [15] V9 > 0.5325 *
#> 
#> $nodes[[27]]
#> [1] root
#> |   [2] V44 <= 0.0748
#> |   |   [3] V40 <= 0.1867
#> |   |   |   [4] V5 <= 0.1785 *
#> |   |   |   [5] V5 > 0.1785 *
#> |   |   [6] V40 > 0.1867 *
#> |   [7] V44 > 0.0748
#> |   |   [8] V15 <= 0.5783
#> |   |   |   [9] V23 <= 0.8642 *
#> |   |   |   [10] V23 > 0.8642 *
#> |   |   [11] V15 > 0.5783
#> |   |   |   [12] V34 <= 0.2139 *
#> |   |   |   [13] V34 > 0.2139 *
#> 
#> $nodes[[28]]
#> [1] root
#> |   [2] V3 <= 0.1808
#> |   |   [3] V24 <= 0.0642
#> |   |   |   [4] V12 <= 0.3436 *
#> |   |   |   [5] V12 > 0.3436
#> |   |   |   |   [6] V34 <= 0.2685 *
#> |   |   |   |   [7] V34 > 0.2685 *
#> |   |   [8] V24 > 0.0642 *
#> |   [9] V3 > 0.1808
#> |   |   [10] V7 <= 0.4731
#> |   |   |   [11] V45 <= 0.0305 *
#> |   |   |   [12] V45 > 0.0305 *
#> |   |   [13] V7 > 0.4731 *
#> 
#> $nodes[[29]]
#> [1] root
#> |   [2] V4 <= 0.1609
#> |   |   [3] V44 <= 0.1133
#> |   |   |   [4] V17 <= 0.6826 *
#> |   |   |   [5] V17 > 0.6826 *
#> |   |   [6] V44 > 0.1133 *
#> |   [7] V4 > 0.1609
#> |   |   [8] V10 <= 0.4274
#> |   |   |   [9] V61 <= 0.1571 *
#> |   |   |   [10] V61 > 0.1571 *
#> |   |   [11] V10 > 0.4274
#> |   |   |   [12] V51 <= 0.0138 *
#> |   |   |   [13] V51 > 0.0138 *
#> 
#> $nodes[[30]]
#> [1] root
#> |   [2] V61 <= 0.1624
#> |   |   [3] V35 <= 0.0569
#> |   |   |   [4] V17 <= 0.7484 *
#> |   |   |   [5] V17 > 0.7484 *
#> |   |   [6] V35 > 0.0569 *
#> |   [7] V61 > 0.1624
#> |   |   [8] V24 <= 0.0628
#> |   |   |   [9] V55 <= 0.0052 *
#> |   |   |   [10] V55 > 0.0052 *
#> |   |   [11] V24 > 0.0628 *
#> 
#> $nodes[[31]]
#> [1] root
#> |   [2] V3 <= 0.1504
#> |   |   [3] V50 <= 0.016
#> |   |   |   [4] V42 <= 0.1433 *
#> |   |   |   [5] V42 > 0.1433 *
#> |   |   [6] V50 > 0.016 *
#> |   [7] V3 > 0.1504
#> |   |   [8] V54 <= 0.0084
#> |   |   |   [9] V10 <= 0.7236
#> |   |   |   |   [10] V6 <= 0.2301 *
#> |   |   |   |   [11] V6 > 0.2301 *
#> |   |   |   [12] V10 > 0.7236 *
#> |   |   [13] V54 > 0.0084 *
#> 
#> $nodes[[32]]
#> [1] root
#> |   [2] V15 <= 0.6484
#> |   |   [3] V16 <= 0.4003 *
#> |   |   [4] V16 > 0.4003
#> |   |   |   [5] V2 <= 0.0293 *
#> |   |   |   [6] V2 > 0.0293 *
#> |   [7] V15 > 0.6484
#> |   |   [8] V26 <= 0.5462
#> |   |   |   [9] V45 <= 0.0589
#> |   |   |   |   [10] V17 <= 0.7484 *
#> |   |   |   |   [11] V17 > 0.7484
#> |   |   |   |   |   [12] V59 <= 0.111 *
#> |   |   |   |   |   [13] V59 > 0.111 *
#> |   |   |   [14] V45 > 0.0589 *
#> |   |   [15] V26 > 0.5462 *
#> 
#> $nodes[[33]]
#> [1] root
#> |   [2] V45 <= 0.0452
#> |   |   [3] V61 <= 0.1711
#> |   |   |   [4] V50 <= 0.007 *
#> |   |   |   [5] V50 > 0.007 *
#> |   |   [6] V61 > 0.1711 *
#> |   [7] V45 > 0.0452
#> |   |   [8] V23 <= 0.6685 *
#> |   |   [9] V23 > 0.6685
#> |   |   |   [10] V29 <= 0.4169 *
#> |   |   |   [11] V29 > 0.4169 *
#> 
#> $nodes[[34]]
#> [1] root
#> |   [2] V42 <= 0.1948
#> |   |   [3] V31 <= 0.5023
#> |   |   |   [4] V41 <= 0.1669
#> |   |   |   |   [5] V35 <= 0.0569
#> |   |   |   |   |   [6] V24 <= 0.0257 *
#> |   |   |   |   |   [7] V24 > 0.0257 *
#> |   |   |   |   [8] V35 > 0.0569 *
#> |   |   |   [9] V41 > 0.1669 *
#> |   |   [10] V31 > 0.5023 *
#> |   [11] V42 > 0.1948
#> |   |   [12] V28 <= 0.6038 *
#> |   |   [13] V28 > 0.6038 *
#> 
#> $nodes[[35]]
#> [1] root
#> |   [2] V41 <= 0.3754
#> |   |   [3] V32 <= 0.4716
#> |   |   |   [4] V54 <= 0.0124
#> |   |   |   |   [5] V35 <= 0.0406
#> |   |   |   |   |   [6] V15 <= 0.5525 *
#> |   |   |   |   |   [7] V15 > 0.5525 *
#> |   |   |   |   [8] V35 > 0.0406
#> |   |   |   |   |   [9] V31 <= 0.2331 *
#> |   |   |   |   |   [10] V31 > 0.2331 *
#> |   |   |   [11] V54 > 0.0124 *
#> |   |   [12] V32 > 0.4716 *
#> |   [13] V41 > 0.3754 *
#> 
#> $nodes[[36]]
#> [1] root
#> |   [2] V49 <= 0.0076 *
#> |   [3] V49 > 0.0076
#> |   |   [4] V2 <= 0.0368
#> |   |   |   [5] V54 <= 0.0072
#> |   |   |   |   [6] V3 <= 0.136 *
#> |   |   |   |   [7] V3 > 0.136
#> |   |   |   |   |   [8] V8 <= 0.2794 *
#> |   |   |   |   |   [9] V8 > 0.2794 *
#> |   |   |   [10] V54 > 0.0072 *
#> |   |   [11] V2 > 0.0368 *
#> 
#> $nodes[[37]]
#> [1] root
#> |   [2] V26 <= 0.4469
#> |   |   [3] V40 <= 0.1437 *
#> |   |   [4] V40 > 0.1437
#> |   |   |   [5] V45 <= 0.0703 *
#> |   |   |   [6] V45 > 0.0703 *
#> |   [7] V26 > 0.4469
#> |   |   [8] V61 <= 0.1368
#> |   |   |   [9] V29 <= 0.4366 *
#> |   |   |   [10] V29 > 0.4366 *
#> |   |   [11] V61 > 0.1368
#> |   |   |   [12] V43 <= 0.1348 *
#> |   |   |   [13] V43 > 0.1348 *
#> 
#> $nodes[[38]]
#> [1] root
#> |   [2] V4 <= 0.1579
#> |   |   [3] V14 <= 0.4024 *
#> |   |   [4] V14 > 0.4024 *
#> |   [5] V4 > 0.1579
#> |   |   [6] V39 <= 0.1879
#> |   |   |   [7] V10 <= 0.4784 *
#> |   |   |   [8] V10 > 0.4784 *
#> |   |   [9] V39 > 0.1879
#> |   |   |   [10] V5 <= 0.2087 *
#> |   |   |   [11] V5 > 0.2087
#> |   |   |   |   [12] V58 <= 0.0093 *
#> |   |   |   |   [13] V58 > 0.0093 *
#> 
#> $nodes[[39]]
#> [1] root
#> |   [2] V4 <= 0.1767
#> |   |   [3] V49 <= 0.0076 *
#> |   |   [4] V49 > 0.0076
#> |   |   |   [5] V43 <= 0.1096 *
#> |   |   |   [6] V43 > 0.1096 *
#> |   [7] V4 > 0.1767
#> |   |   [8] V23 <= 0.5605
#> |   |   |   [9] V14 <= 0.7969 *
#> |   |   |   [10] V14 > 0.7969 *
#> |   |   [11] V23 > 0.5605
#> |   |   |   [12] V20 <= 0.5599 *
#> |   |   |   [13] V20 > 0.5599
#> |   |   |   |   [14] V37 <= 0.1911 *
#> |   |   |   |   [15] V37 > 0.1911 *
#> 
#> $nodes[[40]]
#> [1] root
#> |   [2] V30 <= 0.2321
#> |   |   [3] V44 <= 0.0745 *
#> |   |   [4] V44 > 0.0745 *
#> |   [5] V30 > 0.2321
#> |   |   [6] V13 <= 0.0713
#> |   |   |   [7] V40 <= 0.2228
#> |   |   |   |   [8] V35 <= 0.0469 *
#> |   |   |   |   [9] V35 > 0.0469 *
#> |   |   |   [10] V40 > 0.2228 *
#> |   |   [11] V13 > 0.0713 *
#> 
#> $nodes[[41]]
#> [1] root
#> |   [2] V4 <= 0.1767
#> |   |   [3] V43 <= 0.1091 *
#> |   |   [4] V43 > 0.1091 *
#> |   [5] V4 > 0.1767
#> |   |   [6] V50 <= 0.0037 *
#> |   |   [7] V50 > 0.0037
#> |   |   |   [8] V10 <= 0.5486
#> |   |   |   |   [9] V59 <= 0.1338 *
#> |   |   |   |   [10] V59 > 0.1338 *
#> |   |   |   [11] V10 > 0.5486
#> |   |   |   |   [12] V41 <= 0.1499 *
#> |   |   |   |   [13] V41 > 0.1499 *
#> 
#> $nodes[[42]]
#> [1] root
#> |   [2] V41 <= 0.2748
#> |   |   [3] V5 <= 0.1387
#> |   |   |   [4] V48 <= 0.0149 *
#> |   |   |   [5] V48 > 0.0149 *
#> |   |   [6] V5 > 0.1387
#> |   |   |   [7] V15 <= 0.5525
#> |   |   |   |   [8] V20 <= 0.5782 *
#> |   |   |   |   [9] V20 > 0.5782 *
#> |   |   |   [10] V15 > 0.5525
#> |   |   |   |   [11] V39 <= 0.1879 *
#> |   |   |   |   [12] V39 > 0.1879 *
#> |   [13] V41 > 0.2748 *
#> 
#> $nodes[[43]]
#> [1] root
#> |   [2] V41 <= 0.1779
#> |   |   [3] V12 <= 0.6428
#> |   |   |   [4] V61 <= 0.1523
#> |   |   |   |   [5] V19 <= 0.893 *
#> |   |   |   |   [6] V19 > 0.893 *
#> |   |   |   [7] V61 > 0.1523 *
#> |   |   [8] V12 > 0.6428
#> |   |   |   [9] V51 <= 0.0138 *
#> |   |   |   [10] V51 > 0.0138 *
#> |   [11] V41 > 0.1779
#> |   |   [12] V45 <= 0.0383 *
#> |   |   [13] V45 > 0.0383
#> |   |   |   [14] V40 <= 0.2229 *
#> |   |   |   [15] V40 > 0.2229 *
#> 
#> $nodes[[44]]
#> [1] root
#> |   [2] V40 <= 0.2808
#> |   |   [3] V31 <= 0.5023
#> |   |   |   [4] V39 <= 0.2648
#> |   |   |   |   [5] V44 <= 0.095
#> |   |   |   |   |   [6] V16 <= 0.7652 *
#> |   |   |   |   |   [7] V16 > 0.7652 *
#> |   |   |   |   [8] V44 > 0.095 *
#> |   |   |   [9] V39 > 0.2648 *
#> |   |   [10] V31 > 0.5023
#> |   |   |   [11] V60 <= 0.1541 *
#> |   |   |   [12] V60 > 0.1541 *
#> |   [13] V40 > 0.2808
#> |   |   [14] V37 <= 0.4627 *
#> |   |   [15] V37 > 0.4627 *
#> 
#> $nodes[[45]]
#> [1] root
#> |   [2] V15 <= 0.6484
#> |   |   [3] V47 <= 0.0216
#> |   |   |   [4] V6 <= 0.1763 *
#> |   |   |   [5] V6 > 0.1763 *
#> |   |   [6] V47 > 0.0216 *
#> |   [7] V15 > 0.6484
#> |   |   [8] V38 <= 0.3178
#> |   |   |   [9] V45 <= 0.0343 *
#> |   |   |   [10] V45 > 0.0343
#> |   |   |   |   [11] V27 <= 0.3544 *
#> |   |   |   |   [12] V27 > 0.3544 *
#> |   |   [13] V38 > 0.3178 *
#> 
#> $nodes[[46]]
#> [1] root
#> |   [2] V42 <= 0.2732
#> |   |   [3] V15 <= 0.6484
#> |   |   |   [4] V44 <= 0.0789 *
#> |   |   |   [5] V44 > 0.0789 *
#> |   |   [6] V15 > 0.6484
#> |   |   |   [7] V26 <= 0.4335
#> |   |   |   |   [8] V6 <= 0.2432 *
#> |   |   |   |   [9] V6 > 0.2432 *
#> |   |   |   [10] V26 > 0.4335 *
#> |   [11] V42 > 0.2732 *
#> 
#> $nodes[[47]]
#> [1] root
#> |   [2] V61 <= 0.1571
#> |   |   [3] V4 <= 0.1078 *
#> |   |   [4] V4 > 0.1078
#> |   |   |   [5] V40 <= 0.247 *
#> |   |   |   [6] V40 > 0.247 *
#> |   [7] V61 > 0.1571
#> |   |   [8] V32 <= 0.3652
#> |   |   |   [9] V61 <= 0.2647 *
#> |   |   |   [10] V61 > 0.2647 *
#> |   |   [11] V32 > 0.3652 *
#> 
#> $nodes[[48]]
#> [1] root
#> |   [2] V13 <= 0.0713
#> |   |   [3] V14 <= 0.4948
#> |   |   |   [4] V41 <= 0.1779
#> |   |   |   |   [5] V44 <= 0.0919 *
#> |   |   |   |   [6] V44 > 0.0919 *
#> |   |   |   [7] V41 > 0.1779 *
#> |   |   [8] V14 > 0.4948
#> |   |   |   [9] V39 <= 0.0835 *
#> |   |   |   [10] V39 > 0.0835
#> |   |   |   |   [11] V23 <= 0.6289 *
#> |   |   |   |   [12] V23 > 0.6289 *
#> |   [13] V13 > 0.0713 *
#> 
#> $nodes[[49]]
#> [1] root
#> |   [2] V44 <= 0.0755
#> |   |   [3] V14 <= 0.4948 *
#> |   |   [4] V14 > 0.4948
#> |   |   |   [5] V26 <= 0.3825 *
#> |   |   |   [6] V26 > 0.3825 *
#> |   [7] V44 > 0.0755
#> |   |   [8] V57 <= 0.1164
#> |   |   |   [9] V32 <= 0.4716
#> |   |   |   |   [10] V8 <= 0.2965 *
#> |   |   |   |   [11] V8 > 0.2965 *
#> |   |   |   [12] V32 > 0.4716 *
#> |   |   [13] V57 > 0.1164 *
#> 
#> $nodes[[50]]
#> [1] root
#> |   [2] V5 <= 0.225
#> |   |   [3] V15 <= 0.5783
#> |   |   |   [4] V49 <= 0.0118 *
#> |   |   |   [5] V49 > 0.0118 *
#> |   |   [6] V15 > 0.5783 *
#> |   [7] V5 > 0.225
#> |   |   [8] V49 <= 0.0093 *
#> |   |   [9] V49 > 0.0093
#> |   |   |   [10] V9 <= 0.5036
#> |   |   |   |   [11] V22 <= 0.8388 *
#> |   |   |   |   [12] V22 > 0.8388 *
#> |   |   |   [13] V9 > 0.5036 *
#> 
#> 
#> $data
#>     Class     V1    V10    V11    V12    V13    V14    V15    V16    V17    V18
#> 1       R 0.0200 0.2111 0.1609 0.1582 0.2238 0.0645 0.0660 0.2273 0.3100 0.2999
#> 2       R 0.0453 0.2872 0.4918 0.6552 0.6919 0.7797 0.7464 0.9444 1.0000 0.8874
#> 3       R 0.0262 0.6194 0.6333 0.7060 0.5544 0.5320 0.6479 0.6931 0.6759 0.7551
#> 4       R 0.0762 0.4459 0.4152 0.3952 0.4256 0.4135 0.4528 0.5326 0.7306 0.6193
#> 5       R 0.0286 0.3039 0.2988 0.4250 0.6343 0.8198 1.0000 0.9988 0.9508 0.9025
#> 6       R 0.0519 0.2838 0.2802 0.3086 0.2657 0.3801 0.5626 0.4376 0.2617 0.1199
#> 7       R 0.0164 0.0251 0.0801 0.1056 0.1266 0.0890 0.0198 0.1133 0.2826 0.3234
#> 8       R 0.0123 0.0835 0.0548 0.0847 0.2026 0.2557 0.1870 0.2032 0.1463 0.2849
#> 9       R 0.0298 0.0852 0.2476 0.3645 0.2777 0.2826 0.3237 0.4335 0.5638 0.4555
#> 10      R 0.0352 0.2912 0.2328 0.2237 0.2470 0.1560 0.3491 0.3308 0.2299 0.2203
#> 11      R 0.0192 0.1186 0.1237 0.1601 0.3520 0.4479 0.3769 0.5761 0.6426 0.6790
#> 12      R 0.0126 0.5920 0.5832 0.5419 0.5472 0.5314 0.4981 0.6985 0.8292 0.7839
#> 13      R 0.0473 0.3759 0.3021 0.2909 0.2301 0.1411 0.1582 0.2430 0.4474 0.5964
#> 14      R 0.0293 0.0860 0.0414 0.0472 0.0835 0.0938 0.1466 0.0809 0.1179 0.2179
#> 15      R 0.0201 0.1097 0.0841 0.0942 0.1204 0.0420 0.0031 0.0162 0.0624 0.2127
#> 16      R 0.0177 0.0613 0.1680 0.3476 0.4561 0.5188 0.6308 0.7201 0.5153 0.3818
#> 17      R 0.0100 0.2668 0.3376 0.3282 0.2432 0.1268 0.1278 0.4441 0.6795 0.7051
#> 18      R 0.0195 0.0242 0.0728 0.0639 0.3002 0.3854 0.4767 0.4602 0.3175 0.4160
#> 19      R 0.0311 0.0767 0.1767 0.2555 0.2812 0.2722 0.3227 0.3463 0.5395 0.7911
#> 20      R 0.0206 0.1573 0.2327 0.1785 0.1507 0.1916 0.2061 0.2307 0.2360 0.1299
#> 21      R 0.0094 0.1328 0.1303 0.0273 0.0644 0.0712 0.1204 0.0717 0.1224 0.2349
#> 22      R 0.0333 0.0920 0.1475 0.0522 0.1119 0.0970 0.1174 0.1678 0.1642 0.1205
#> 23      R 0.0123 0.0475 0.1152 0.0520 0.1192 0.1943 0.1840 0.2077 0.1956 0.1630
#> 24      R 0.0091 0.0837 0.1579 0.0898 0.0309 0.1856 0.2969 0.2032 0.1264 0.1655
#> 25      R 0.0068 0.2475 0.1606 0.0922 0.2398 0.3220 0.4295 0.2652 0.0666 0.1442
#> 26      R 0.0093 0.0640 0.0888 0.1599 0.1541 0.2768 0.2176 0.2799 0.3491 0.2824
#> 27      R 0.0211 0.0568 0.0869 0.1935 0.1478 0.1871 0.1994 0.3283 0.6861 0.5814
#> 28      R 0.0093 0.1360 0.2132 0.3738 0.3738 0.2673 0.2333 0.5367 0.7312 0.7659
#> 29      R 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> 30      R 0.0308 0.2795 0.3336 0.2940 0.1608 0.3335 0.4985 0.7295 0.7350 0.8253
#> 31      R 0.0373 0.0802 0.1564 0.2565 0.2624 0.1179 0.0597 0.1563 0.2241 0.3586
#> 32      R 0.0190 0.0349 0.1459 0.3473 0.3197 0.2823 0.0166 0.0572 0.2164 0.4563
#> 33      R 0.0119 0.0864 0.2143 0.3720 0.2665 0.2113 0.1103 0.1136 0.1934 0.4142
#> 34      R 0.0353 0.0880 0.1078 0.0979 0.2250 0.2819 0.2099 0.1240 0.1699 0.0939
#> 35      R 0.0131 0.0901 0.0750 0.0844 0.1226 0.1619 0.2317 0.2934 0.3526 0.3657
#> 36      R 0.0293 0.0751 0.0528 0.1209 0.1763 0.2039 0.2727 0.2321 0.2676 0.2934
#> 37      R 0.0132 0.0922 0.1445 0.1475 0.2087 0.2558 0.2603 0.1985 0.2394 0.3134
#> 38      R 0.0201 0.1199 0.1742 0.1387 0.2042 0.2580 0.2616 0.2097 0.2532 0.3213
#> 39      R 0.0152 0.1504 0.1911 0.2115 0.2249 0.2573 0.1701 0.2023 0.2538 0.3417
#> 40      R 0.0216 0.0866 0.1564 0.0780 0.0997 0.0915 0.0662 0.1134 0.1740 0.2573
#> 41      R 0.0225 0.1452 0.1442 0.0948 0.0618 0.1641 0.0708 0.0844 0.2590 0.2679
#> 42      R 0.0125 0.1302 0.0888 0.0500 0.0628 0.1274 0.0801 0.0742 0.2048 0.2950
#> 43      R 0.0130 0.1483 0.1532 0.1100 0.0890 0.1236 0.1197 0.1145 0.2137 0.2838
#> 44      R 0.0086 0.1185 0.0775 0.1101 0.1042 0.0853 0.0456 0.1304 0.2690 0.2947
#> 45      R 0.0071 0.0898 0.0289 0.1554 0.1437 0.1035 0.1424 0.1227 0.0892 0.2047
#> 46      R 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> 47      R 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> 48      R 0.0368 0.0506 0.0906 0.2545 0.1464 0.1272 0.1223 0.1669 0.1424 0.1285
#> 49      R 0.0195 0.1191 0.1522 0.1322 0.1434 0.1244 0.0653 0.0890 0.1226 0.1846
#> 50      R 0.0065 0.1109 0.0937 0.0827 0.0920 0.0911 0.1487 0.1666 0.1268 0.1374
#> 51      R 0.0036 0.0888 0.0937 0.1245 0.1599 0.1542 0.1846 0.1732 0.1477 0.1748
#> 52      R 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> 53      R 0.0109 0.1036 0.0972 0.0501 0.1546 0.3404 0.4804 0.6570 0.7738 0.7827
#> 54      R 0.0202 0.1370 0.0843 0.0269 0.1254 0.3046 0.5584 0.7973 0.8341 0.8057
#> 55      R 0.0336 0.0842 0.0357 0.0689 0.1705 0.3257 0.4602 0.6225 0.7327 0.7843
#> 56      R 0.0231 0.0347 0.0575 0.1382 0.2274 0.4038 0.5223 0.6847 0.7521 0.7760
#> 57      R 0.0229 0.1631 0.2709 0.3358 0.4091 0.4400 0.5485 0.7213 0.8137 0.9185
#> 58      R 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> 59      R 0.0217 0.1777 0.4079 0.4113 0.3973 0.5078 0.6509 0.8073 0.9819 1.0000
#> 60      R 0.0365 0.3735 0.3042 0.0387 0.2679 0.5397 0.6204 0.7257 0.8350 0.6888
#> 61      R 0.0188 0.1806 0.2139 0.1523 0.1975 0.4844 0.7298 0.7807 0.7906 0.6122
#> 62      R 0.0274 0.1808 0.2366 0.0906 0.1749 0.4012 0.5187 0.7312 0.9062 0.9260
#> 63      R 0.0235 0.3674 0.2974 0.0837 0.1912 0.5040 0.6352 0.6804 0.7505 0.6595
#> 64      R 0.0260 0.1630 0.1030 0.2187 0.1542 0.2630 0.2940 0.2978 0.0699 0.1401
#> 65      R 0.0025 0.1430 0.0994 0.2250 0.2444 0.3239 0.3039 0.2410 0.0367 0.1672
#> 66      R 0.0291 0.1146 0.0942 0.0794 0.0252 0.1191 0.1045 0.2050 0.1556 0.2690
#> 67      M 0.0491 0.2028 0.0947 0.2497 0.2209 0.3195 0.3340 0.3323 0.2780 0.2975
#> 68      M 0.0201 0.0279 0.2251 0.2615 0.1770 0.3709 0.4533 0.5553 0.4616 0.3797
#> 69      M 0.0629 0.3597 0.5466 0.5205 0.5127 0.5395 0.6558 0.8705 0.9786 0.9335
#> 70      M 0.0587 0.2352 0.3208 0.4257 0.5201 0.4914 0.5950 0.7221 0.9039 0.9111
#> 71      M 0.0116 0.1006 0.2500 0.3988 0.3809 0.4753 0.6165 0.6464 0.8024 0.9208
#> 72      M 0.0331 0.0193 0.0897 0.1734 0.1936 0.2803 0.3313 0.5020 0.6360 0.7096
#> 73      M 0.0599 0.0351 0.1582 0.2023 0.2268 0.2829 0.3819 0.4665 0.6687 0.8647
#> 74      M 0.0210 0.0686 0.1125 0.1741 0.2710 0.3087 0.3575 0.4998 0.6011 0.6470
#> 75      M 0.0530 0.0740 0.1610 0.2226 0.2703 0.3365 0.4266 0.4144 0.5655 0.6921
#> 76      M 0.0283 0.1767 0.1995 0.2869 0.3275 0.3769 0.4169 0.5036 0.6180 0.8025
#> 77      M 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> 78      M 0.0228 0.2227 0.2621 0.3109 0.2859 0.3316 0.3755 0.4499 0.4765 0.6254
#> 79      M 0.0363 0.1444 0.1989 0.2154 0.2863 0.3570 0.3980 0.4359 0.5334 0.6304
#> 80      M 0.0261 0.2013 0.2890 0.3650 0.3510 0.3495 0.4325 0.5398 0.6237 0.6876
#> 81      M 0.0346 0.1508 0.1809 0.2390 0.2947 0.2866 0.4010 0.5325 0.5486 0.5823
#> 82      M 0.0249 0.2531 0.2855 0.2961 0.3341 0.4287 0.5205 0.6087 0.7236 0.7577
#> 83      M 0.0270 0.2122 0.2210 0.2399 0.2964 0.4061 0.5095 0.5512 0.6613 0.6804
#> 84      M 0.0228 0.3517 0.3330 0.3643 0.4020 0.4731 0.5196 0.6573 0.8426 0.8476
#> 85      M 0.0715 0.4186 0.4867 0.5249 0.5959 0.6855 0.8573 0.9718 0.8693 0.8711
#> 86      M 0.0374 0.2597 0.3483 0.3999 0.4574 0.5950 0.7924 0.8272 0.8087 0.8977
#> 87      M 0.1371 0.2067 0.4257 0.5484 0.7131 0.7003 0.6777 0.7939 0.9382 0.8925
#> 88      M 0.0443 0.3083 0.3794 0.5364 0.6173 0.7842 0.8392 0.9016 1.0000 0.8911
#> 89      M 0.1150 0.5378 0.3816 0.0991 0.0616 0.1795 0.3907 0.3602 0.3041 0.2428
#> 90      M 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> 91      M 0.1083 0.5966 0.5304 0.2251 0.2402 0.2689 0.6646 0.6632 0.1674 0.0837
#> 92      M 0.0094 0.5079 0.3350 0.0834 0.3004 0.3957 0.3769 0.3828 0.1247 0.1363
#> 93      M 0.1088 0.5761 0.4733 0.2362 0.1023 0.2904 0.4713 0.4659 0.1415 0.0849
#> 94      M 0.0430 0.7106 0.7342 0.5033 0.3000 0.1951 0.2767 0.3737 0.2507 0.2507
#> 95      M 0.0164 0.0780 0.1791 0.2681 0.1788 0.1039 0.1980 0.3234 0.3748 0.2586
#> 96      M 0.0412 0.2058 0.1546 0.2671 0.3141 0.2904 0.3531 0.5079 0.4639 0.1859
#> 97      M 0.0707 0.1247 0.2340 0.1764 0.2284 0.3115 0.4725 0.5543 0.5386 0.3746
#> 98      M 0.0516 0.1294 0.2646 0.2778 0.4432 0.3672 0.2035 0.2764 0.3252 0.1536
#> 99      M 0.0299 0.0998 0.0523 0.0904 0.2655 0.3099 0.3520 0.3892 0.3962 0.2449
#> 100     M 0.1021 0.1369 0.2509 0.2631 0.2796 0.2977 0.3823 0.3129 0.3956 0.2093
#> 101     M 0.0712 0.2127 0.2891 0.3985 0.4576 0.5821 0.5027 0.1930 0.2579 0.3177
#> 102     M 0.0209 0.1853 0.1748 0.1556 0.1476 0.1378 0.2584 0.3827 0.4784 0.5360
#> 103     M 0.0231 0.2461 0.2245 0.1520 0.1732 0.3099 0.4380 0.5595 0.6820 0.6164
#> 104     M 0.0131 0.2079 0.2295 0.1990 0.1184 0.1891 0.2949 0.5343 0.6850 0.7923
#> 105     M 0.0233 0.2078 0.1239 0.0236 0.1771 0.3115 0.4990 0.6707 0.7655 0.8485
#> 106     M 0.0117 0.2169 0.1180 0.0754 0.2782 0.3758 0.5093 0.6592 0.7071 0.7532
#> 107     M 0.0047 0.3469 0.3265 0.3263 0.2301 0.1253 0.2102 0.2401 0.1928 0.1673
#> 108     M 0.0107 0.2936 0.3104 0.3431 0.2456 0.1887 0.1184 0.2080 0.2736 0.3274
#> 109     M 0.0235 0.3199 0.2946 0.2484 0.2510 0.1806 0.1413 0.3019 0.3635 0.3887
#> 110     M 0.0258 0.2954 0.2506 0.2601 0.2249 0.2115 0.1270 0.1193 0.1794 0.2185
#> 111     M 0.0217 0.2110 0.2343 0.2087 0.1645 0.1689 0.1650 0.1967 0.2934 0.3709
#> 112     M 0.0072 0.2318 0.2472 0.2880 0.2126 0.0708 0.1194 0.2808 0.4221 0.5279
#> 113     M 0.0221 0.1810 0.2549 0.2984 0.2624 0.1893 0.0668 0.2666 0.4274 0.6291
#> 114     M 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> 115     M 0.0137 0.0874 0.1100 0.1084 0.1094 0.1023 0.0601 0.0906 0.1313 0.2758
#> 116     M 0.0015 0.1476 0.2118 0.2575 0.2354 0.1334 0.0092 0.1951 0.3685 0.4646
#> 117     M 0.0130 0.1375 0.2026 0.2389 0.2112 0.1444 0.0742 0.1533 0.3052 0.4116
#> 118     M 0.0134 0.1250 0.2405 0.2325 0.2523 0.1472 0.0669 0.1100 0.2353 0.3282
#> 119     M 0.0179 0.5965 0.6254 0.4507 0.3693 0.2864 0.1635 0.0422 0.1785 0.4394
#> 120     M 0.0180 0.2918 0.3273 0.3035 0.3033 0.2587 0.1682 0.1308 0.2803 0.4519
#> 121     M 0.0329 0.2672 0.3056 0.3161 0.2314 0.2067 0.1804 0.2808 0.4423 0.5947
#> 122     M 0.0191 0.3134 0.4786 0.5239 0.4393 0.3440 0.2869 0.3889 0.4420 0.3892
#> 123     M 0.0394 0.2558 0.3078 0.3404 0.3400 0.3951 0.3352 0.2252 0.2086 0.2248
#> 124     M 0.0310 0.4432 0.5222 0.5611 0.5379 0.4048 0.2245 0.1784 0.2297 0.2720
#> 125     M 0.0423 0.2696 0.3412 0.4292 0.3682 0.3940 0.2965 0.3172 0.2825 0.3050
#> 126     M 0.0095 0.3745 0.4229 0.4499 0.5404 0.4303 0.3333 0.3496 0.3426 0.2851
#> 127     M 0.0269 0.5915 0.6675 0.5679 0.5175 0.3334 0.2002 0.2856 0.2937 0.3424
#> 128     M 0.0340 0.4117 0.5245 0.5341 0.5554 0.3915 0.2950 0.3075 0.3021 0.2719
#> 129     M 0.0368 0.2544 0.2936 0.2935 0.2657 0.3187 0.2794 0.2534 0.1980 0.1929
#> 130     M 0.0158 0.1923 0.2361 0.2719 0.3049 0.2986 0.2226 0.1745 0.2459 0.3100
#> 131     M 0.0156 0.1567 0.2476 0.2783 0.2896 0.2956 0.3189 0.1892 0.1730 0.2226
#> 132     M 0.0056 0.1859 0.2481 0.2712 0.2934 0.2637 0.1880 0.1405 0.2028 0.2613
#> 133     M 0.0392 0.2471 0.2680 0.3049 0.2863 0.2294 0.1165 0.2127 0.2062 0.2222
#> 134     M 0.0050 0.2282 0.2521 0.3484 0.3309 0.2614 0.1782 0.2055 0.2298 0.3545
#> 135     M 0.0366 0.1847 0.2222 0.2648 0.2508 0.2291 0.1555 0.1863 0.2387 0.3345
#> 136     M 0.0238 0.2048 0.2652 0.3100 0.2381 0.1918 0.1430 0.1735 0.1781 0.2852
#> 137     M 0.0116 0.2271 0.3171 0.2882 0.2657 0.2307 0.1889 0.1791 0.2298 0.3715
#> 138     M 0.0335 0.2660 0.3188 0.3553 0.3116 0.1965 0.1780 0.2794 0.2870 0.3969
#> 139     M 0.0303 0.2354 0.2898 0.2812 0.1578 0.0273 0.0673 0.1444 0.2070 0.2645
#>        V19     V2    V20    V21    V22    V23    V24    V25    V26    V27
#> 1   0.5078 0.0371 0.4797 0.5783 0.5071 0.4328 0.5550 0.6711 0.6415 0.7104
#> 2   0.8024 0.0523 0.7818 0.5212 0.4052 0.3957 0.3914 0.3250 0.3200 0.3271
#> 3   0.8929 0.0582 0.8619 0.7974 0.6737 0.4293 0.3648 0.5331 0.2413 0.5070
#> 4   0.2032 0.0666 0.4636 0.4148 0.4292 0.5730 0.5399 0.3161 0.2285 0.6995
#> 5   0.7234 0.0453 0.5122 0.2074 0.3985 0.5890 0.2872 0.2043 0.5782 0.5389
#> 6   0.6676 0.0548 0.9402 0.7832 0.5352 0.6809 0.9174 0.7613 0.8220 0.8872
#> 7   0.3238 0.0173 0.4333 0.6068 0.7652 0.9203 0.9719 0.9207 0.7545 0.8289
#> 8   0.5824 0.0309 0.7728 0.7852 0.8515 0.5312 0.3653 0.5973 0.8275 1.0000
#> 9   0.4348 0.0615 0.6433 0.3932 0.1989 0.3540 0.9165 0.9371 0.4620 0.2771
#> 10  0.2493 0.0116 0.4128 0.3158 0.6191 0.5854 0.3395 0.2561 0.5599 0.8145
#> 11  0.7157 0.0607 0.5466 0.5399 0.6362 0.7849 0.7756 0.5780 0.4862 0.4181
#> 12  0.8215 0.0149 0.9363 1.0000 0.9224 0.7839 0.5470 0.4562 0.5922 0.5448
#> 13  0.6744 0.0509 0.7969 0.8319 0.7813 0.8626 0.7369 0.4122 0.2596 0.3392
#> 14  0.3326 0.0644 0.3258 0.2111 0.2302 0.3361 0.4259 0.4609 0.2606 0.0874
#> 15  0.3436 0.0026 0.3813 0.3825 0.4764 0.6313 0.7523 0.8675 0.8788 0.7901
#> 16  0.2644 0.0300 0.3345 0.4865 0.6628 0.7389 0.9213 1.0000 0.7750 0.5593
#> 17  0.7966 0.0275 0.9401 0.9857 0.8193 0.5789 0.6394 0.7043 0.6875 0.4081
#> 18  0.6428 0.0213 1.0000 0.8631 0.5212 0.3156 0.5952 0.7732 0.6042 0.4375
#> 19  0.9064 0.0491 0.8701 0.7672 0.2957 0.4148 0.6043 0.3178 0.3482 0.6158
#> 20  0.3812 0.0132 0.5858 0.4497 0.4876 1.0000 0.8675 0.4718 0.5341 0.6197
#> 21  0.3684 0.0166 0.3918 0.4925 0.8793 0.9606 0.8786 0.6905 0.6937 0.5674
#> 22  0.0494 0.0221 0.1544 0.3485 0.6146 0.9146 0.9364 0.8677 0.8772 0.8553
#> 23  0.1218 0.0022 0.1017 0.1354 0.3157 0.4645 0.5906 0.6776 0.8119 0.8594
#> 24  0.1661 0.0213 0.2091 0.2310 0.4460 0.6634 0.6933 0.7663 0.8206 0.7049
#> 25  0.2373 0.0232 0.2595 0.2493 0.3903 0.6384 0.8037 0.7026 0.6874 0.6997
#> 26  0.2479 0.0185 0.3005 0.4300 0.4684 0.4520 0.5026 0.6217 0.6571 0.6632
#> 27  0.2500 0.0319 0.1734 0.3363 0.5588 0.6592 0.7012 0.8099 0.8901 0.8745
#> 28  0.6271 0.0269 0.4395 0.4330 0.4326 0.5544 0.7360 0.8589 0.8989 0.9420
#> 29  0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> 30  0.8793 0.0339 0.9657 1.0000 0.8707 0.6471 0.5973 0.8218 0.7755 0.6111
#> 31  0.1792 0.0281 0.3256 0.6079 0.6988 0.8391 0.8553 0.7710 0.6215 0.5736
#> 32  0.3819 0.0038 0.5627 0.6484 0.7235 0.8242 0.8766 1.0000 0.8582 0.6563
#> 33  0.3279 0.0582 0.6222 0.7468 0.7676 0.7867 0.8253 1.0000 0.9481 0.7539
#> 34  0.1091 0.0713 0.1410 0.1268 0.3151 0.1430 0.2264 0.5756 0.7876 0.7158
#> 35  0.3221 0.0068 0.3093 0.4084 0.4285 0.4663 0.5956 0.6948 0.8386 0.8875
#> 36  0.3295 0.0378 0.4910 0.5402 0.6257 0.6826 0.7527 0.8504 0.8938 0.9928
#> 37  0.4077 0.0080 0.4529 0.4893 0.5666 0.6234 0.6741 0.8282 0.8823 0.9196
#> 38  0.4327 0.0116 0.4760 0.5328 0.6057 0.6696 0.7476 0.8930 0.9405 1.0000
#> 39  0.4026 0.0102 0.4553 0.5525 0.5991 0.5854 0.7114 0.9500 0.9858 1.0000
#> 40  0.3294 0.0124 0.3910 0.5438 0.6115 0.7022 0.7610 0.7973 0.9105 0.8807
#> 41  0.3094 0.0019 0.4678 0.5958 0.7245 0.8773 0.9214 0.9282 0.9942 1.0000
#> 42  0.3193 0.0152 0.4567 0.5959 0.7101 0.8225 0.8425 0.9065 0.9802 1.0000
#> 43  0.3640 0.0006 0.5430 0.6673 0.7979 0.9273 0.9027 0.9192 1.0000 0.9821
#> 44  0.3669 0.0215 0.4948 0.6275 0.8162 0.9237 0.8710 0.8052 0.8756 1.0000
#> 45  0.0827 0.0103 0.1524 0.3031 0.1608 0.0667 0.1426 0.0395 0.1653 0.3399
#> 46  0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> 47  0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> 48  0.1857 0.0403 0.1136 0.2069 0.0219 0.2400 0.2547 0.0240 0.1923 0.4753
#> 49  0.3880 0.0142 0.3658 0.2297 0.2610 0.4193 0.5848 0.5643 0.5448 0.4772
#> 50  0.1095 0.0122 0.1286 0.2146 0.2889 0.4238 0.6168 0.8167 0.9622 0.8280
#> 51  0.1455 0.0078 0.1579 0.2257 0.1975 0.3368 0.5828 0.8505 1.0000 0.8457
#> 52  0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> 53  0.8152 0.0093 0.8129 0.8297 0.8535 0.8870 0.8894 0.8980 0.9667 1.0000
#> 54  0.8616 0.0104 0.8769 0.9413 0.9403 0.9409 1.0000 0.9725 0.9309 0.9351
#> 55  0.7988 0.0294 0.8261 1.0000 0.9814 0.9620 0.9601 0.9118 0.9086 0.7931
#> 56  0.7708 0.0351 0.8627 1.0000 0.8873 0.8057 0.8760 0.9066 0.9430 0.8846
#> 57  1.0000 0.0369 0.9418 0.9116 0.9349 0.7484 0.5146 0.4106 0.3443 0.6981
#> 58  0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> 59  0.9407 0.0340 0.8452 0.8106 0.8460 0.6212 0.5815 0.7745 0.8204 0.5601
#> 60  0.4450 0.1632 0.3921 0.5605 0.7545 0.8311 1.0000 0.8762 0.7092 0.7009
#> 61  0.4200 0.0370 0.2807 0.5148 0.7569 0.8596 1.0000 0.8457 0.6797 0.6971
#> 62  0.7434 0.0242 0.4463 0.5103 0.6952 0.7755 0.8364 0.7283 0.6399 0.5759
#> 63  0.4509 0.0291 0.2964 0.4019 0.6794 0.8297 1.0000 0.8240 0.7115 0.7726
#> 64  0.2990 0.0192 0.3915 0.3598 0.2403 0.4208 0.5675 0.6094 0.6323 0.6549
#> 65  0.3038 0.0309 0.4069 0.3613 0.1994 0.4611 0.6849 0.7272 0.7152 0.7102
#> 66  0.3784 0.0400 0.4024 0.3470 0.1395 0.1208 0.2827 0.1500 0.2626 0.4468
#> 67  0.2948 0.0279 0.1729 0.3264 0.3834 0.3523 0.5410 0.5228 0.4475 0.5340
#> 68  0.3450 0.0423 0.2665 0.2395 0.1127 0.2556 0.5169 0.3779 0.4082 0.5353
#> 69  0.7917 0.1065 0.7383 0.6908 0.3850 0.0671 0.0502 0.2717 0.2839 0.2234
#> 70  0.8723 0.1210 0.7686 0.7326 0.5222 0.3097 0.3172 0.2270 0.1640 0.1746
#> 71  0.9832 0.0179 0.9634 0.8646 0.8325 0.8276 0.8007 0.6102 0.4853 0.4355
#> 72  0.8333 0.0423 0.8730 0.8073 0.7507 0.7526 0.7298 0.6177 0.4946 0.4531
#> 73  0.9361 0.0474 0.9367 0.9144 0.9162 0.9311 0.8604 0.7327 0.5763 0.4162
#> 74  0.8067 0.0121 0.9008 0.8906 0.9338 1.0000 0.9102 0.8496 0.7867 0.7688
#> 75  0.8547 0.0885 0.9234 0.9171 1.0000 0.9532 0.9101 0.8337 0.7053 0.6534
#> 76  0.9333 0.0599 0.9399 0.9275 0.9450 0.8328 0.7773 0.7007 0.6154 0.5810
#> 77  0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> 78  0.7304 0.0106 0.8702 0.9349 0.9614 0.9126 0.9443 1.0000 0.9455 0.8815
#> 79  0.6995 0.0478 0.7435 0.8379 0.8641 0.9014 0.9432 0.9536 1.0000 0.9547
#> 80  0.7329 0.0266 0.8107 0.8396 0.8632 0.8747 0.9607 0.9716 0.9121 0.8576
#> 81  0.6041 0.0509 0.6749 0.7084 0.7890 0.9284 0.9781 0.9738 1.0000 0.9702
#> 82  0.7726 0.0119 0.8098 0.8995 0.9247 0.9365 0.9853 0.9776 1.0000 0.9896
#> 83  0.6520 0.0163 0.6788 0.7811 0.8369 0.8969 0.9856 1.0000 0.9395 0.8917
#> 84  0.8344 0.0853 0.8453 0.7999 0.8537 0.9642 1.0000 0.9357 0.9409 0.9070
#> 85  0.8954 0.0849 0.9922 0.8980 0.8158 0.8373 0.7541 0.5893 0.5488 0.5643
#> 86  0.9828 0.0586 0.8982 0.8890 0.9367 0.9122 0.7936 0.6718 0.6318 0.4865
#> 87  0.9146 0.1226 0.7832 0.7960 0.7983 0.7716 0.6615 0.4860 0.5572 0.4697
#> 88  0.8753 0.0446 0.7886 0.7156 0.7581 0.6372 0.3210 0.2076 0.2279 0.3309
#> 89  0.4060 0.1163 0.8395 0.9777 0.4680 0.0610 0.2143 0.1348 0.2854 0.1617
#> 90  0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> 91  0.4331 0.1070 0.8718 0.7992 0.3712 0.1703 0.1611 0.2086 0.2847 0.2211
#> 92  0.2678 0.0611 0.9188 0.9779 0.3236 0.1944 0.1874 0.0885 0.3443 0.2953
#> 93  0.3257 0.1278 0.9007 0.9312 0.4856 0.1346 0.1604 0.2737 0.5609 0.3654
#> 94  0.3292 0.0902 0.4871 0.6527 0.8454 0.9739 1.0000 0.6665 0.5323 0.4024
#> 95  0.3680 0.0627 0.3508 0.5606 0.5231 0.5469 0.6954 0.6352 0.6757 0.8499
#> 96  0.4474 0.1135 0.4079 0.5400 0.4786 0.4332 0.6113 0.5091 0.4606 0.7243
#> 97  0.4583 0.1252 0.5961 0.7464 0.7644 0.5711 0.6257 0.6695 0.7131 0.7567
#> 98  0.2784 0.0944 0.3508 0.5187 0.7052 0.7143 0.6814 0.5100 0.5308 0.6131
#> 99  0.2355 0.0688 0.3045 0.3112 0.4698 0.5534 0.4532 0.4464 0.4670 0.4621
#> 100 0.3218 0.0830 0.3345 0.3184 0.2887 0.3610 0.2566 0.4106 0.4591 0.4722
#> 101 0.2745 0.0901 0.6186 0.8958 0.7442 0.5188 0.2811 0.1773 0.6607 0.7576
#> 102 0.6192 0.0278 0.7912 0.9264 1.0000 0.9080 0.7435 0.5557 0.3172 0.1295
#> 103 0.6803 0.0315 0.8435 0.9921 1.0000 0.7983 0.5426 0.3952 0.5179 0.5650
#> 104 0.8220 0.0201 0.7290 0.7352 0.7918 0.8057 0.4898 0.1934 0.2924 0.6255
#> 105 0.9805 0.0394 1.0000 1.0000 0.9992 0.9067 0.6803 0.5103 0.4716 0.4980
#> 106 0.8357 0.0069 0.8593 0.9615 0.9838 0.8705 0.6403 0.5067 0.5395 0.6934
#> 107 0.1228 0.0059 0.0902 0.1557 0.3291 0.5268 0.6740 0.7906 0.8938 0.9395
#> 108 0.2344 0.0453 0.1260 0.0576 0.1241 0.3239 0.4357 0.5734 0.7825 0.9252
#> 109 0.2980 0.0220 0.2219 0.1624 0.1343 0.2046 0.3791 0.5771 0.7545 0.8406
#> 110 0.1646 0.0433 0.0740 0.0625 0.2381 0.4824 0.6372 0.7531 0.8959 0.9941
#> 111 0.4309 0.0152 0.4161 0.5116 0.6501 0.7717 0.8491 0.9104 0.8912 0.8189
#> 112 0.5857 0.0027 0.6153 0.6753 0.7873 0.8974 0.9828 1.0000 0.8460 0.6055
#> 113 0.7782 0.0065 0.7686 0.8099 0.8493 0.9440 0.9450 0.9655 0.8045 0.4969
#> 114 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> 115 0.3660 0.0297 0.5269 0.5810 0.6181 0.5875 0.4639 0.5424 0.7367 0.9089
#> 116 0.5418 0.0186 0.6260 0.7420 0.8257 0.8609 0.8400 0.8949 0.9945 1.0000
#> 117 0.5466 0.0120 0.5933 0.6663 0.7333 0.7136 0.7014 0.7758 0.9137 0.9964
#> 118 0.4416 0.0172 0.5167 0.6508 0.7793 0.7978 0.7786 0.8587 0.9321 0.9454
#> 119 0.6950 0.0136 0.8097 0.8550 0.8717 0.8601 0.9201 0.8729 0.8084 0.8694
#> 120 0.6641 0.0444 0.7683 0.6960 0.4393 0.2432 0.2886 0.4974 0.8172 1.0000
#> 121 0.6601 0.0216 0.5844 0.4539 0.4789 0.5646 0.5281 0.7115 1.0000 0.9564
#> 122 0.4088 0.0173 0.5006 0.7271 0.9385 1.0000 0.9831 0.9932 0.9161 0.8237
#> 123 0.3382 0.0420 0.4578 0.6474 0.6708 0.7007 0.7619 0.7745 0.6767 0.7373
#> 124 0.5209 0.0221 0.6898 0.8202 0.8780 0.7600 0.7616 0.7152 0.7288 0.8686
#> 125 0.2408 0.0321 0.5420 0.6802 0.6320 0.5824 0.6805 0.5984 0.8412 0.9911
#> 126 0.4062 0.0308 0.6833 0.7650 0.6670 0.5703 0.5995 0.6484 0.8614 0.9819
#> 127 0.5949 0.0383 0.7526 0.8959 0.8147 0.7109 0.7378 0.7201 0.8254 0.8917
#> 128 0.5443 0.0625 0.7932 0.8751 0.8667 0.7107 0.6911 0.7287 0.8792 1.0000
#> 129 0.2826 0.0279 0.3245 0.3504 0.3324 0.4217 0.4774 0.4808 0.6325 0.8334
#> 130 0.3572 0.0239 0.4283 0.4268 0.3735 0.4585 0.6094 0.7221 0.7595 0.8706
#> 131 0.2427 0.0210 0.3149 0.4102 0.3808 0.4896 0.6292 0.7519 0.7985 0.8830
#> 132 0.2778 0.0267 0.3346 0.3830 0.4003 0.5114 0.6860 0.7490 0.7843 0.9021
#> 133 0.3241 0.0108 0.4330 0.5071 0.5944 0.7078 0.7641 0.8878 0.9711 0.9880
#> 134 0.6218 0.0017 0.7265 0.8346 0.8268 0.8366 0.9408 0.9510 0.9801 0.9974
#> 135 0.5233 0.0421 0.6684 0.7766 0.7928 0.7940 0.9129 0.9498 0.9835 1.0000
#> 136 0.5036 0.0318 0.6166 0.7616 0.8125 0.7793 0.8788 0.8813 0.9470 1.0000
#> 137 0.6223 0.0744 0.7260 0.7934 0.8045 0.8067 0.9173 0.9327 0.9562 1.0000
#> 138 0.5599 0.0258 0.6936 0.7969 0.7452 0.8203 0.9261 0.8810 0.8814 0.9301
#> 139 0.2828 0.0353 0.4293 0.5685 0.6990 0.7246 0.7622 0.9242 1.0000 0.9979
#>        V28    V29     V3    V30    V31    V32    V33    V34    V35    V36
#> 1   0.8080 0.6791 0.0428 0.3857 0.1307 0.2604 0.5121 0.7547 0.8537 0.8507
#> 2   0.2767 0.4423 0.0843 0.2028 0.3788 0.2947 0.1984 0.2341 0.1306 0.4182
#> 3   0.8533 0.6036 0.1099 0.8514 0.8512 0.5045 0.1862 0.2709 0.4232 0.3043
#> 4   1.0000 0.7262 0.0481 0.4724 0.5103 0.5459 0.2881 0.0981 0.1951 0.4181
#> 5   0.3750 0.3411 0.0277 0.5067 0.5580 0.4778 0.3299 0.2198 0.1407 0.2856
#> 6   0.6091 0.2967 0.0842 0.1103 0.1318 0.0624 0.0990 0.4006 0.3666 0.1050
#> 7   0.8907 0.7309 0.0347 0.6896 0.5829 0.4935 0.3101 0.0306 0.0244 0.1108
#> 8   0.8673 0.6301 0.0169 0.4591 0.3940 0.2576 0.2817 0.2641 0.2757 0.2698
#> 9   0.6613 0.8028 0.0650 0.4200 0.5192 0.6962 0.5792 0.8889 0.7863 0.7133
#> 10  0.6941 0.6985 0.0191 0.8660 0.5930 0.3664 0.6750 0.8697 0.7837 0.7552
#> 11  0.2457 0.0716 0.0378 0.0613 0.1816 0.4493 0.5976 0.3785 0.2495 0.5771
#> 12  0.3971 0.0882 0.0641 0.2385 0.2005 0.0587 0.2544 0.2009 0.0329 0.1547
#> 13  0.3788 0.4488 0.0819 0.6281 0.7449 0.7328 0.7704 0.7870 0.6048 0.5860
#> 14  0.2862 0.5606 0.0390 0.8344 0.8096 0.7250 0.8048 0.9435 1.0000 0.8960
#> 15  0.8357 0.9631 0.0138 0.9619 0.9236 0.8903 0.9708 0.9647 0.7892 0.5307
#> 16  0.6172 0.8635 0.0288 0.6592 0.4770 0.4983 0.3330 0.3076 0.2876 0.2226
#> 17  0.1811 0.2064 0.0190 0.3917 0.3791 0.2042 0.2227 0.3341 0.3984 0.5077
#> 18  0.5487 0.4720 0.0058 0.6235 0.3851 0.1590 0.3891 0.5294 0.3504 0.4480
#> 19  0.8049 0.6289 0.0692 0.4999 0.5830 0.6660 0.4124 0.1260 0.2487 0.4676
#> 20  0.7143 0.5605 0.0533 0.3728 0.2481 0.1921 0.1386 0.3325 0.2883 0.3228
#> 21  0.6540 0.7802 0.0398 0.7575 0.5836 0.6316 0.8108 0.9039 0.8647 0.6695
#> 22  0.8833 1.0000 0.0270 0.8296 0.6601 0.5499 0.5716 0.6859 0.6825 0.5142
#> 23  0.9228 0.8387 0.0196 0.7238 0.6292 0.5181 0.4629 0.5255 0.5147 0.3929
#> 24  0.7560 0.7466 0.0206 0.6387 0.4846 0.3328 0.5356 0.8741 0.8573 0.6718
#> 25  0.8558 1.0000 0.0513 0.9621 0.8996 0.7575 0.6902 0.5686 0.4396 0.4546
#> 26  0.7321 0.8534 0.0056 1.0000 0.8448 0.6354 0.6308 0.6211 0.6976 0.5868
#> 27  0.7887 0.8725 0.0415 0.9376 0.8920 0.7508 0.6832 0.7610 0.9017 1.0000
#> 28  0.9401 0.9379 0.0217 0.8575 0.7284 0.6700 0.7547 0.8773 0.9919 0.9922
#> 29  0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> 30  0.4195 0.2990 0.0202 0.1354 0.2438 0.5624 0.5555 0.6963 0.7298 0.7022
#> 31  0.4402 0.4056 0.0232 0.4411 0.5130 0.5965 0.7272 0.6539 0.5902 0.5393
#> 32  0.5087 0.4817 0.0642 0.4530 0.4521 0.4532 0.5385 0.5308 0.5356 0.5271
#> 33  0.6008 0.5437 0.0623 0.5387 0.5619 0.5141 0.6084 0.5621 0.5956 0.6078
#> 34  0.5998 0.5583 0.0326 0.6295 0.7659 0.8940 0.8436 0.6807 0.8380 1.0000
#> 35  0.6404 0.3308 0.0308 0.3425 0.4920 0.4592 0.3034 0.4366 0.5175 0.5122
#> 36  0.9134 0.7080 0.0257 0.6318 0.6126 0.4638 0.2797 0.1721 0.1665 0.2561
#> 37  0.8965 0.7549 0.0188 0.6736 0.6463 0.5007 0.3663 0.2298 0.1362 0.2123
#> 38  0.9785 0.8473 0.0123 0.7639 0.6701 0.4989 0.3718 0.2196 0.1416 0.2680
#> 39  0.9578 0.8642 0.0113 0.7128 0.5893 0.4323 0.2897 0.1744 0.0770 0.2297
#> 40  0.7949 0.7990 0.0174 0.7180 0.6407 0.6312 0.5929 0.6168 0.6498 0.6764
#> 41  0.9071 0.8545 0.0075 0.7293 0.6499 0.6071 0.5588 0.5967 0.6275 0.5459
#> 42  0.8752 0.7583 0.0218 0.6616 0.5786 0.5128 0.4776 0.4994 0.5197 0.5071
#> 43  0.9092 0.8184 0.0088 0.6962 0.5900 0.5447 0.5142 0.5389 0.5531 0.5318
#> 44  0.9858 0.9427 0.0242 0.8114 0.6987 0.6810 0.6591 0.6954 0.7290 0.6680
#> 45  0.4855 0.5206 0.0135 0.5508 0.6102 0.5989 0.6764 0.8897 1.0000 0.9517
#> 46  0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> 47  0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> 48  0.7003 0.6825 0.0317 0.6443 0.7063 0.5373 0.6601 0.8708 0.9518 0.9605
#> 49  0.6897 0.9797 0.0181 1.0000 0.9546 0.8835 0.7662 0.6547 0.5447 0.4593
#> 50  0.5816 0.4667 0.0068 0.3539 0.2727 0.1410 0.1863 0.2176 0.2360 0.1725
#> 51  0.6624 0.5564 0.0092 0.3925 0.3233 0.2054 0.1920 0.2227 0.3147 0.2268
#> 52  0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> 53  0.9134 0.6762 0.0121 0.4659 0.2895 0.2959 0.1746 0.2112 0.2569 0.2276
#> 54  0.7317 0.4421 0.0325 0.3244 0.4161 0.4611 0.4031 0.3000 0.2459 0.1348
#> 55  0.5877 0.3474 0.0476 0.4235 0.4633 0.3410 0.2849 0.2847 0.1742 0.0549
#> 56  0.6500 0.2970 0.0030 0.2423 0.2992 0.2285 0.2277 0.1529 0.1037 0.0352
#> 57  0.8713 0.9013 0.0040 0.8014 0.4380 0.1319 0.1709 0.2484 0.3044 0.2312
#> 58  0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> 59  0.2989 0.5009 0.0392 0.6628 0.5753 0.4055 0.3746 0.3481 0.1580 0.1422
#> 60  0.5014 0.3942 0.1636 0.4456 0.4072 0.0773 0.1423 0.0401 0.3597 0.6847
#> 61  0.5843 0.4772 0.0953 0.5201 0.4241 0.1592 0.1668 0.0588 0.3967 0.7147
#> 62  0.4146 0.3495 0.0621 0.4437 0.2665 0.2024 0.1942 0.0765 0.3725 0.5843
#> 63  0.6124 0.4936 0.0749 0.5648 0.4906 0.1820 0.1811 0.1107 0.4603 0.6650
#> 64  0.7673 1.0000 0.0254 0.8463 0.5509 0.4444 0.5169 0.4268 0.1802 0.0791
#> 65  0.8516 1.0000 0.0171 0.7690 0.4841 0.3717 0.6096 0.5110 0.2586 0.0916
#> 66  0.7520 0.9036 0.0771 0.7812 0.4766 0.2483 0.5372 0.6279 0.3647 0.4572
#> 67  0.5323 0.3907 0.0592 0.3456 0.4091 0.4639 0.5580 0.5727 0.6355 0.7563
#> 68  0.5116 0.4544 0.0554 0.4258 0.3869 0.3939 0.4661 0.3974 0.2194 0.1816
#> 69  0.1911 0.0408 0.1526 0.2531 0.1979 0.1891 0.2433 0.1956 0.2667 0.1340
#> 70  0.1835 0.2048 0.1268 0.1674 0.2767 0.3104 0.3399 0.4441 0.5046 0.2814
#> 71  0.4307 0.4399 0.0449 0.3833 0.3032 0.3035 0.3197 0.2292 0.2131 0.2347
#> 72  0.4099 0.4540 0.0474 0.4124 0.3139 0.3194 0.3692 0.3776 0.4469 0.4777
#> 73  0.4113 0.4146 0.0498 0.3149 0.2936 0.3169 0.3149 0.4132 0.3994 0.4195
#> 74  0.7718 0.6268 0.0203 0.4301 0.2077 0.1198 0.1660 0.2618 0.3862 0.3958
#> 75  0.4483 0.2460 0.1997 0.2020 0.1446 0.0994 0.1510 0.2392 0.4434 0.5023
#> 76  0.4454 0.3707 0.0656 0.2891 0.2185 0.1711 0.3578 0.3947 0.2867 0.2401
#> 77  0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> 78  0.7520 0.7068 0.0130 0.5986 0.3857 0.2510 0.2162 0.0968 0.1323 0.1344
#> 79  0.9745 0.8962 0.0298 0.7196 0.5462 0.3156 0.2525 0.1969 0.2189 0.1533
#> 80  0.8798 0.7720 0.0223 0.5711 0.4264 0.2860 0.3114 0.2066 0.1165 0.0185
#> 81  0.9956 0.8235 0.0079 0.6020 0.5342 0.4867 0.3526 0.1566 0.0946 0.1613
#> 82  0.9076 0.7306 0.0277 0.5758 0.4469 0.3719 0.2079 0.0955 0.0488 0.1406
#> 83  0.8105 0.6828 0.0341 0.5572 0.4301 0.3339 0.2035 0.0798 0.0809 0.1525
#> 84  0.7104 0.6320 0.1000 0.5667 0.3501 0.2447 0.1698 0.3290 0.3674 0.2331
#> 85  0.5406 0.4783 0.0587 0.4439 0.3698 0.2574 0.1478 0.1743 0.1229 0.1588
#> 86  0.3388 0.4832 0.0628 0.3822 0.3075 0.1267 0.0743 0.1510 0.1906 0.1817
#> 87  0.5640 0.4517 0.1385 0.3369 0.2684 0.2339 0.3052 0.3016 0.2753 0.1041
#> 88  0.2847 0.1949 0.0235 0.1671 0.1025 0.1362 0.2212 0.1124 0.1677 0.1039
#> 89  0.2649 0.4565 0.0866 0.6502 0.2848 0.3296 0.5370 0.6627 0.8626 0.8547
#> 90  0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> 91  0.6134 0.5807 0.0257 0.6925 0.3825 0.4303 0.7791 0.8703 1.0000 0.9212
#> 92  0.5908 0.4564 0.1136 0.7334 0.1969 0.2790 0.6212 0.8681 0.8621 0.9380
#> 93  0.6139 0.5470 0.0926 0.8474 0.5638 0.5443 0.5086 0.6253 0.8497 0.8406
#> 94  0.3444 0.4239 0.0833 0.4182 0.4393 0.1162 0.4336 0.6553 0.6172 0.4373
#> 95  0.8025 0.6563 0.0738 0.8591 0.6655 0.5369 0.3118 0.3763 0.2801 0.0875
#> 96  0.8987 0.8826 0.0518 0.9201 0.8005 0.6033 0.2120 0.2866 0.4033 0.2803
#> 97  0.8077 0.8477 0.1447 0.9289 0.9513 0.7995 0.4362 0.4048 0.4952 0.1712
#> 98  0.8388 0.9031 0.0622 0.8607 0.9656 0.9168 0.7132 0.6898 0.7310 0.4134
#> 99  0.6988 0.7626 0.0992 0.7025 0.7382 0.7446 0.7927 0.5227 0.3967 0.3042
#> 100 0.7278 0.7591 0.0577 0.6579 0.7514 0.6666 0.4903 0.5962 0.6552 0.4014
#> 101 0.5122 0.4701 0.1276 0.5479 0.4347 0.1276 0.0846 0.0927 0.0313 0.0998
#> 102 0.0598 0.2722 0.0115 0.3616 0.3293 0.4855 0.3936 0.1845 0.0342 0.2489
#> 103 0.3042 0.1881 0.0170 0.3960 0.2286 0.3544 0.4187 0.2398 0.1847 0.3760
#> 104 0.8546 0.8966 0.0045 0.7821 0.5168 0.4840 0.4038 0.3411 0.2849 0.2353
#> 105 0.6196 0.7171 0.0416 0.6316 0.3554 0.2897 0.4316 0.3791 0.2421 0.0944
#> 106 0.8487 0.8213 0.0279 0.5962 0.2950 0.2758 0.2885 0.1893 0.1446 0.0955
#> 107 0.9493 0.9040 0.0080 0.9151 0.8828 0.8086 0.7180 0.6720 0.6447 0.6879
#> 108 0.9349 0.9348 0.0289 1.0000 0.9308 0.8478 0.7605 0.7040 0.7539 0.7990
#> 109 0.8547 0.9036 0.0167 1.0000 0.9646 0.7912 0.6412 0.5986 0.6835 0.7771
#> 110 0.9957 0.9328 0.0547 0.9344 0.8854 0.7690 0.6865 0.6390 0.6378 0.6629
#> 111 0.6779 0.5368 0.0346 0.5207 0.5651 0.5749 0.5250 0.4255 0.3330 0.2331
#> 112 0.3036 0.0144 0.0089 0.2526 0.4335 0.4918 0.5409 0.5961 0.5248 0.3777
#> 113 0.3960 0.3856 0.0164 0.5574 0.7309 0.8549 0.9425 0.8726 0.6673 0.4694
#> 114 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> 115 1.0000 0.8247 0.0116 0.5441 0.3349 0.0877 0.1600 0.4169 0.6576 0.7390
#> 116 0.9649 0.8747 0.0289 0.6257 0.2184 0.2945 0.3645 0.5012 0.7843 0.9361
#> 117 1.0000 0.8881 0.0436 0.6585 0.2707 0.1746 0.2709 0.4853 0.7184 0.8209
#> 118 0.8645 0.7220 0.0178 0.4850 0.1357 0.2951 0.4715 0.6036 0.8083 0.9870
#> 119 0.8411 0.5793 0.0408 0.3754 0.3485 0.4639 0.6495 0.6901 0.5666 0.5188
#> 120 0.9238 0.8519 0.0476 0.7722 0.5772 0.5190 0.6824 0.6220 0.5054 0.3578
#> 121 0.6090 0.5112 0.0386 0.4000 0.0482 0.1852 0.2186 0.1436 0.1757 0.1428
#> 122 0.6957 0.4536 0.0291 0.3281 0.2522 0.3964 0.4154 0.3308 0.1445 0.1923
#> 123 0.7834 0.9619 0.0446 1.0000 0.8086 0.5558 0.5409 0.4988 0.3108 0.2897
#> 124 0.9509 0.8348 0.0433 0.5730 0.4363 0.4289 0.4240 0.3156 0.1287 0.1477
#> 125 0.9187 0.8005 0.0709 0.6713 0.5632 0.7332 0.6038 0.2575 0.0349 0.1799
#> 126 0.9380 0.8435 0.0539 0.6074 0.5403 0.6890 0.5977 0.3244 0.0516 0.3157
#> 127 0.9820 0.8179 0.0505 0.4848 0.3203 0.2775 0.2382 0.2911 0.1675 0.3156
#> 128 0.9816 0.8984 0.0381 0.6048 0.4934 0.5371 0.4586 0.2908 0.0774 0.2249
#> 129 0.9458 1.0000 0.0103 0.8425 0.5524 0.4795 0.5200 0.3968 0.1940 0.1519
#> 130 1.0000 0.9815 0.0150 0.7187 0.5848 0.4192 0.3756 0.3263 0.1944 0.1394
#> 131 0.9915 0.9223 0.0282 0.6981 0.6167 0.5069 0.3921 0.3524 0.2183 0.1245
#> 132 1.0000 0.8888 0.0221 0.6511 0.6083 0.4463 0.2948 0.1729 0.1488 0.0801
#> 133 0.9812 0.9464 0.0267 0.8542 0.6457 0.3397 0.3828 0.3204 0.1331 0.0440
#> 134 1.0000 0.9036 0.0270 0.6409 0.3857 0.2908 0.2040 0.1653 0.1769 0.1140
#> 135 0.9471 0.8237 0.0504 0.6252 0.4181 0.3209 0.2658 0.2196 0.1588 0.0561
#> 136 0.9739 0.8446 0.0422 0.6151 0.4302 0.3165 0.2869 0.2017 0.1206 0.0271
#> 137 0.9818 0.8684 0.0367 0.6381 0.3997 0.3242 0.2835 0.2413 0.2321 0.1260
#> 138 0.9955 0.8576 0.0398 0.6069 0.3934 0.2464 0.1645 0.1140 0.0956 0.0080
#> 139 0.8297 0.7032 0.0490 0.7141 0.6893 0.4961 0.2584 0.0969 0.0776 0.0364
#>        V37    V38    V39     V4    V40    V41    V42    V43    V44    V45
#> 1   0.6692 0.6097 0.4943 0.0207 0.2744 0.0510 0.2834 0.2825 0.4256 0.2641
#> 2   0.3835 0.1057 0.1840 0.0689 0.1970 0.1674 0.0583 0.1401 0.1628 0.0621
#> 3   0.6116 0.6756 0.5375 0.1083 0.4719 0.4647 0.2587 0.2129 0.2222 0.2111
#> 4   0.4604 0.3217 0.2828 0.0394 0.2430 0.1979 0.2444 0.1847 0.0841 0.0692
#> 5   0.3807 0.4158 0.4054 0.0174 0.3296 0.2707 0.2650 0.0723 0.1238 0.1192
#> 6   0.1915 0.3930 0.4288 0.0319 0.2546 0.1151 0.2196 0.1879 0.1437 0.2146
#> 7   0.1594 0.1371 0.0696 0.0070 0.0452 0.0620 0.1421 0.1597 0.1384 0.0372
#> 8   0.3994 0.4576 0.3940 0.0313 0.2522 0.1782 0.1354 0.0516 0.0337 0.0894
#> 9   0.7615 0.4401 0.3009 0.0921 0.3163 0.2809 0.2898 0.0526 0.1867 0.1553
#> 10  0.5789 0.4713 0.1252 0.0469 0.6087 0.7322 0.5977 0.3431 0.1803 0.2378
#> 11  0.8852 0.8409 0.3570 0.0774 0.3133 0.6096 0.6378 0.2709 0.1419 0.1260
#> 12  0.1212 0.2446 0.3171 0.1732 0.3195 0.3051 0.0836 0.1266 0.1381 0.1136
#> 13  0.6385 0.7279 0.6286 0.1252 0.5316 0.4069 0.1791 0.1625 0.2527 0.1903
#> 14  0.5516 0.3037 0.2338 0.0173 0.2382 0.3318 0.3821 0.1575 0.2228 0.1582
#> 15  0.2718 0.1953 0.1374 0.0062 0.3105 0.3790 0.4105 0.3355 0.2998 0.2748
#> 16  0.0794 0.0603 0.1049 0.0394 0.0606 0.1530 0.0983 0.1643 0.1901 0.1107
#> 17  0.5534 0.3352 0.2723 0.0371 0.2278 0.2044 0.1986 0.0835 0.0908 0.1380
#> 18  0.4041 0.5031 0.6475 0.0190 0.5493 0.3548 0.2028 0.1882 0.0845 0.1315
#> 19  0.5382 0.3150 0.2139 0.0831 0.1848 0.1679 0.2328 0.1015 0.0713 0.0615
#> 20  0.2607 0.2040 0.2396 0.0569 0.1319 0.0683 0.0334 0.0716 0.0976 0.0787
#> 21  0.4027 0.2370 0.2685 0.0359 0.3662 0.3267 0.2200 0.2996 0.2205 0.1163
#> 22  0.2750 0.1358 0.1551 0.0481 0.2646 0.1994 0.1883 0.2746 0.1651 0.0575
#> 23  0.1279 0.0411 0.0859 0.0206 0.1131 0.1306 0.1757 0.2648 0.1955 0.0656
#> 24  0.3446 0.3150 0.2702 0.0505 0.2598 0.2742 0.3594 0.4382 0.2460 0.0758
#> 25  0.2959 0.1587 0.1681 0.0444 0.0842 0.1173 0.1754 0.2728 0.1705 0.0194
#> 26  0.4889 0.3683 0.2043 0.0064 0.1469 0.2220 0.1449 0.1490 0.1211 0.1144
#> 27  0.9123 0.7388 0.5915 0.0286 0.4057 0.3019 0.2331 0.2931 0.2298 0.2391
#> 28  0.9419 0.8388 0.6605 0.0339 0.4816 0.2917 0.1769 0.1136 0.0701 0.1578
#> 29  0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> 30  0.5468 0.1421 0.4738 0.0889 0.6410 0.4375 0.3178 0.2377 0.2808 0.1374
#> 31  0.4897 0.4081 0.4145 0.0225 0.6003 0.7196 0.6633 0.6287 0.4087 0.3212
#> 32  0.4260 0.2436 0.1205 0.0452 0.3845 0.4107 0.5067 0.4216 0.2479 0.1586
#> 33  0.5025 0.2829 0.0477 0.0600 0.2811 0.3422 0.5147 0.4372 0.2470 0.1708
#> 34  0.9497 0.7866 0.5647 0.0272 0.3480 0.2585 0.2304 0.2948 0.3363 0.3017
#> 35  0.4746 0.4902 0.4603 0.0311 0.4460 0.4196 0.2873 0.2296 0.0949 0.0095
#> 36  0.2735 0.3209 0.2724 0.0062 0.1880 0.1552 0.2522 0.2121 0.1801 0.1473
#> 37  0.2395 0.2673 0.2865 0.0141 0.2060 0.1659 0.2633 0.2552 0.1696 0.1467
#> 38  0.2630 0.3104 0.3392 0.0245 0.2123 0.1170 0.2655 0.2203 0.1541 0.1464
#> 39  0.2459 0.3101 0.3312 0.0263 0.2220 0.0871 0.2064 0.1808 0.1624 0.1120
#> 40  0.6253 0.5117 0.3890 0.0152 0.3273 0.2509 0.1530 0.1323 0.1657 0.1215
#> 41  0.4786 0.3965 0.2087 0.0097 0.1651 0.1836 0.0652 0.0758 0.0486 0.0353
#> 42  0.4577 0.3505 0.1845 0.0175 0.1890 0.1967 0.1041 0.0550 0.0492 0.0622
#> 43  0.4826 0.3790 0.1831 0.0456 0.1750 0.1679 0.0674 0.0609 0.0375 0.0533
#> 44  0.5917 0.4899 0.3439 0.0445 0.2366 0.1716 0.1013 0.0766 0.0845 0.0260
#> 45  0.8459 0.7073 0.6697 0.0494 0.6326 0.5102 0.4161 0.2816 0.1705 0.1421
#> 46  0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> 47  0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> 48  0.7712 0.6772 0.6431 0.0293 0.6720 0.6035 0.5155 0.3802 0.2278 0.1522
#> 49  0.4679 0.1987 0.0699 0.0406 0.1493 0.1713 0.1654 0.2600 0.3846 0.3754
#> 50  0.0589 0.0621 0.1847 0.0108 0.2452 0.2984 0.3041 0.2275 0.1480 0.1102
#> 51  0.0795 0.0748 0.1166 0.0387 0.1969 0.2619 0.2507 0.1983 0.0948 0.0931
#> 52  0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> 53  0.2149 0.1601 0.0371 0.0378 0.0117 0.0488 0.0288 0.0597 0.0431 0.0369
#> 54  0.2541 0.2255 0.1598 0.0239 0.1485 0.0845 0.0569 0.0855 0.1262 0.1153
#> 55  0.1192 0.1154 0.0855 0.0539 0.1811 0.1264 0.0799 0.0378 0.1268 0.1125
#> 56  0.1073 0.1373 0.1331 0.0304 0.1454 0.1115 0.0440 0.0762 0.1381 0.0831
#> 57  0.1338 0.2056 0.2474 0.0375 0.2790 0.1610 0.0056 0.0351 0.1148 0.1331
#> 58  0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> 59  0.2130 0.1866 0.1003 0.0236 0.2396 0.2241 0.2029 0.0710 0.1606 0.1669
#> 60  0.7076 0.3597 0.0612 0.1421 0.3027 0.3966 0.3868 0.2380 0.2059 0.2288
#> 61  0.7319 0.3509 0.0589 0.0824 0.2690 0.4200 0.3874 0.2440 0.2000 0.2307
#> 62  0.4827 0.2347 0.0999 0.0560 0.3244 0.3990 0.2975 0.1684 0.1761 0.1683
#> 63  0.6423 0.2166 0.1951 0.0519 0.4947 0.4925 0.4041 0.2402 0.1392 0.1779
#> 64  0.0535 0.1906 0.2561 0.0061 0.2153 0.2769 0.2841 0.1733 0.0815 0.0335
#> 65  0.0947 0.2287 0.3480 0.0228 0.2095 0.1901 0.2941 0.2211 0.1524 0.0746
#> 66  0.6359 0.6474 0.5520 0.0809 0.3253 0.2292 0.0653 0.0000 0.0000 0.0000
#> 67  0.6903 0.6176 0.5379 0.1270 0.5622 0.6508 0.4797 0.3736 0.2804 0.1982
#> 68  0.1023 0.2108 0.3253 0.0783 0.3697 0.2912 0.3010 0.2563 0.1927 0.2062
#> 69  0.1073 0.2023 0.1794 0.1229 0.0227 0.1313 0.1775 0.1549 0.1626 0.0708
#> 70  0.1681 0.2633 0.3198 0.1498 0.1933 0.0934 0.0443 0.0780 0.0722 0.0405
#> 71  0.3201 0.4455 0.3655 0.1096 0.2715 0.1747 0.1781 0.2199 0.1056 0.0573
#> 72  0.4716 0.4664 0.3893 0.0818 0.4255 0.4064 0.3712 0.3863 0.2802 0.1283
#> 73  0.4532 0.4419 0.4737 0.0387 0.3431 0.3194 0.3370 0.2493 0.2650 0.1748
#> 74  0.3248 0.2302 0.3250 0.1036 0.4022 0.4344 0.4008 0.3370 0.2518 0.2101
#> 75  0.4441 0.4571 0.3927 0.2604 0.2900 0.3408 0.4990 0.3632 0.1387 0.1800
#> 76  0.3619 0.3314 0.3763 0.0229 0.4767 0.4059 0.3661 0.2320 0.1450 0.1017
#> 77  0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> 78  0.2250 0.3244 0.3939 0.0842 0.3806 0.3258 0.3654 0.2983 0.1779 0.1535
#> 79  0.0711 0.1498 0.1755 0.0210 0.2276 0.1322 0.1056 0.1973 0.1692 0.1881
#> 80  0.1302 0.2480 0.1637 0.0749 0.1103 0.2144 0.2033 0.1887 0.1370 0.1376
#> 81  0.2824 0.3390 0.3019 0.0243 0.2945 0.2978 0.2676 0.2055 0.2069 0.1625
#> 82  0.2554 0.2054 0.1614 0.0760 0.2232 0.1773 0.2293 0.2521 0.1464 0.0673
#> 83  0.2626 0.2456 0.1980 0.0247 0.2412 0.2409 0.1901 0.2077 0.1767 0.1119
#> 84  0.2413 0.2556 0.1892 0.0428 0.1940 0.3074 0.2785 0.0308 0.1238 0.1854
#> 85  0.1803 0.1436 0.1667 0.0218 0.2630 0.2234 0.1239 0.0869 0.2092 0.1499
#> 86  0.1709 0.0946 0.2829 0.0534 0.3006 0.1602 0.1483 0.2875 0.2047 0.1064
#> 87  0.1757 0.3156 0.3603 0.1484 0.2736 0.1301 0.2458 0.3404 0.1753 0.0679
#> 88  0.2562 0.2624 0.2236 0.1008 0.1180 0.1103 0.2831 0.2385 0.0255 0.1967
#> 89  0.7848 0.9016 0.8827 0.0358 0.6086 0.2810 0.0906 0.1177 0.2694 0.5214
#> 90  0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> 91  0.9386 0.9303 0.7314 0.0837 0.4791 0.2087 0.2016 0.1669 0.2872 0.4374
#> 92  0.8327 0.9480 0.6721 0.1203 0.4436 0.5163 0.3809 0.1557 0.1449 0.2662
#> 93  0.8420 0.9136 0.7713 0.1234 0.4882 0.3724 0.4469 0.4586 0.4491 0.5616
#> 94  0.4118 0.3641 0.4572 0.0813 0.4367 0.2964 0.4312 0.4155 0.1824 0.1487
#> 95  0.3319 0.4237 0.1801 0.0608 0.3743 0.4627 0.1614 0.2494 0.3202 0.2265
#> 96  0.3087 0.3550 0.2545 0.0232 0.1432 0.5869 0.6431 0.5826 0.4286 0.4894
#> 97  0.3652 0.3763 0.2841 0.1644 0.0427 0.5331 0.6952 0.4288 0.3063 0.5835
#> 98  0.1580 0.1819 0.1381 0.0415 0.2960 0.6935 0.8246 0.5351 0.4403 0.6448
#> 99  0.1309 0.2408 0.1780 0.1021 0.1598 0.5657 0.6443 0.4241 0.4567 0.5760
#> 100 0.1188 0.3245 0.3107 0.0627 0.1354 0.5109 0.7988 0.7517 0.5508 0.5858
#> 101 0.1781 0.1586 0.3001 0.1497 0.2208 0.1455 0.2895 0.3203 0.1414 0.0629
#> 102 0.3837 0.3514 0.2654 0.0445 0.1760 0.1599 0.0866 0.0590 0.0813 0.0492
#> 103 0.4331 0.3626 0.2519 0.0226 0.1870 0.1046 0.2339 0.1991 0.1100 0.0684
#> 104 0.2699 0.4442 0.4323 0.0217 0.3314 0.1195 0.1669 0.3702 0.3072 0.0945
#> 105 0.0351 0.0844 0.0436 0.0547 0.1130 0.2045 0.1937 0.0834 0.1502 0.1675
#> 106 0.0888 0.0836 0.0894 0.0583 0.1547 0.2318 0.2225 0.1035 0.1721 0.2017
#> 107 0.6241 0.4936 0.4144 0.0554 0.4240 0.4546 0.4392 0.4323 0.4921 0.4710
#> 108 0.7673 0.5955 0.4731 0.0713 0.4840 0.4340 0.3954 0.4837 0.5379 0.4485
#> 109 0.8084 0.7426 0.6295 0.0516 0.5708 0.4433 0.3361 0.3795 0.4950 0.4373
#> 110 0.5983 0.4565 0.3129 0.0681 0.4158 0.4325 0.4031 0.4201 0.4557 0.3955
#> 111 0.1451 0.1648 0.2694 0.0346 0.3730 0.4467 0.4133 0.3743 0.3021 0.2069
#> 112 0.2369 0.1720 0.1878 0.0061 0.3250 0.2575 0.2423 0.2706 0.2323 0.1724
#> 113 0.1546 0.1748 0.3607 0.0487 0.5208 0.5177 0.3702 0.2240 0.0816 0.0395
#> 114 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> 115 0.7963 0.7493 0.6795 0.0082 0.4713 0.2355 0.1704 0.2728 0.4016 0.4125
#> 116 0.8195 0.6207 0.4513 0.0195 0.3004 0.2674 0.2241 0.3141 0.3693 0.2986
#> 117 0.7536 0.6496 0.4708 0.0624 0.3482 0.3508 0.3181 0.3524 0.3659 0.2846
#> 118 0.8800 0.6411 0.4276 0.0363 0.2702 0.2642 0.3342 0.4335 0.4542 0.3960
#> 119 0.5060 0.3885 0.3762 0.0633 0.3738 0.2605 0.1591 0.1875 0.2267 0.1577
#> 120 0.3809 0.3813 0.3359 0.0698 0.2771 0.3648 0.3834 0.3453 0.2096 0.1031
#> 121 0.1644 0.3089 0.3648 0.0627 0.4441 0.3859 0.2813 0.1238 0.0953 0.1201
#> 122 0.3208 0.3367 0.5683 0.0301 0.5505 0.3231 0.0448 0.3131 0.3387 0.4130
#> 123 0.2244 0.0960 0.2287 0.0551 0.3228 0.3454 0.3882 0.3240 0.0926 0.1173
#> 124 0.2062 0.2400 0.5173 0.0191 0.5168 0.1491 0.2407 0.3415 0.4494 0.4624
#> 125 0.3039 0.4760 0.5756 0.0108 0.4254 0.5046 0.7179 0.6163 0.5663 0.5749
#> 126 0.3590 0.3881 0.5716 0.0411 0.4314 0.3051 0.4393 0.4302 0.4831 0.5084
#> 127 0.1869 0.3391 0.5993 0.0707 0.4124 0.1181 0.3651 0.4655 0.4777 0.3517
#> 128 0.1602 0.3958 0.6117 0.0257 0.5196 0.2321 0.4370 0.3797 0.4322 0.4892
#> 129 0.2010 0.1736 0.1029 0.0566 0.2244 0.3717 0.4449 0.3939 0.2030 0.2010
#> 130 0.1670 0.1275 0.1666 0.0494 0.2574 0.2258 0.2777 0.1613 0.1335 0.1976
#> 131 0.1592 0.1626 0.2356 0.0596 0.2483 0.2437 0.2715 0.1184 0.1157 0.1449
#> 132 0.1770 0.1382 0.2404 0.0561 0.2046 0.1970 0.2778 0.1377 0.0685 0.0664
#> 133 0.1234 0.2030 0.1652 0.0257 0.1043 0.1066 0.2110 0.2417 0.1631 0.0769
#> 134 0.0740 0.0941 0.0621 0.0450 0.0426 0.0572 0.1068 0.1909 0.2229 0.2203
#> 135 0.0948 0.1700 0.1215 0.0250 0.1282 0.0386 0.1329 0.2331 0.2468 0.1960
#> 136 0.0580 0.1262 0.1072 0.0399 0.1082 0.0360 0.1197 0.2061 0.2054 0.1878
#> 137 0.0693 0.0701 0.1439 0.0225 0.1475 0.0438 0.0469 0.1476 0.1742 0.1555
#> 138 0.0702 0.0936 0.0894 0.0570 0.1127 0.0873 0.1020 0.1964 0.2256 0.1814
#> 139 0.1572 0.1823 0.1349 0.0608 0.0849 0.0492 0.1367 0.1552 0.1548 0.1319
#>        V46    V47    V48    V49     V5    V50    V51    V52    V53    V54
#> 1   0.1386 0.1051 0.1343 0.0383 0.0954 0.0324 0.0232 0.0027 0.0065 0.0159
#> 2   0.0203 0.0530 0.0742 0.0409 0.1183 0.0061 0.0125 0.0084 0.0089 0.0048
#> 3   0.0176 0.1348 0.0744 0.0130 0.0974 0.0106 0.0033 0.0232 0.0166 0.0095
#> 4   0.0528 0.0357 0.0085 0.0230 0.0590 0.0046 0.0156 0.0031 0.0054 0.0105
#> 5   0.1089 0.0623 0.0494 0.0264 0.0384 0.0081 0.0104 0.0045 0.0014 0.0038
#> 6   0.2360 0.1125 0.0254 0.0285 0.1158 0.0178 0.0052 0.0081 0.0120 0.0045
#> 7   0.0688 0.0867 0.0513 0.0092 0.0187 0.0198 0.0118 0.0090 0.0223 0.0179
#> 8   0.0861 0.0872 0.0445 0.0134 0.0358 0.0217 0.0188 0.0133 0.0265 0.0224
#> 9   0.1633 0.1252 0.0748 0.0452 0.1615 0.0064 0.0154 0.0031 0.0153 0.0071
#> 10  0.3424 0.2303 0.0689 0.0216 0.0737 0.0469 0.0426 0.0346 0.0158 0.0154
#> 11  0.1288 0.0790 0.0829 0.0520 0.1388 0.0216 0.0360 0.0331 0.0131 0.0120
#> 12  0.0516 0.0073 0.0278 0.0372 0.2565 0.0121 0.0153 0.0092 0.0035 0.0098
#> 13  0.1643 0.0604 0.0209 0.0436 0.1783 0.0175 0.0107 0.0193 0.0118 0.0064
#> 14  0.1433 0.1634 0.1133 0.0567 0.0476 0.0133 0.0170 0.0035 0.0052 0.0083
#> 15  0.2024 0.1043 0.0453 0.0337 0.0133 0.0122 0.0072 0.0108 0.0070 0.0063
#> 16  0.1917 0.1467 0.0392 0.0356 0.0630 0.0270 0.0168 0.0102 0.0122 0.0044
#> 17  0.1948 0.1211 0.0843 0.0589 0.0416 0.0247 0.0118 0.0088 0.0104 0.0036
#> 18  0.1590 0.0562 0.0617 0.0343 0.0319 0.0370 0.0261 0.0157 0.0074 0.0271
#> 19  0.0779 0.0761 0.0845 0.0592 0.0079 0.0068 0.0089 0.0087 0.0032 0.0130
#> 20  0.0522 0.0500 0.0231 0.0221 0.0647 0.0144 0.0307 0.0386 0.0147 0.0018
#> 21  0.0635 0.0465 0.0422 0.0174 0.0681 0.0172 0.0134 0.0141 0.0191 0.0145
#> 22  0.0695 0.0598 0.0456 0.0021 0.0679 0.0068 0.0036 0.0022 0.0032 0.0060
#> 23  0.0580 0.0319 0.0301 0.0272 0.0180 0.0074 0.0149 0.0125 0.0134 0.0026
#> 24  0.0187 0.0797 0.0748 0.0367 0.0657 0.0155 0.0300 0.0112 0.0112 0.0102
#> 25  0.0213 0.0354 0.0420 0.0093 0.0249 0.0204 0.0199 0.0173 0.0163 0.0055
#> 26  0.0791 0.0365 0.0152 0.0085 0.0260 0.0120 0.0022 0.0069 0.0064 0.0129
#> 27  0.1910 0.1096 0.0300 0.0171 0.0121 0.0383 0.0053 0.0090 0.0042 0.0153
#> 28  0.1938 0.1106 0.0693 0.0176 0.0305 0.0205 0.0309 0.0212 0.0091 0.0056
#> 29  0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> 30  0.1136 0.1034 0.0688 0.0422 0.1570 0.0117 0.0070 0.0167 0.0127 0.0138
#> 31  0.2518 0.1482 0.0988 0.0317 0.0179 0.0269 0.0066 0.0008 0.0045 0.0024
#> 32  0.1124 0.0651 0.0789 0.0325 0.0333 0.0070 0.0026 0.0093 0.0118 0.0112
#> 33  0.1343 0.0838 0.0755 0.0304 0.1397 0.0074 0.0069 0.0025 0.0103 0.0074
#> 34  0.2193 0.1316 0.1078 0.0559 0.0370 0.0035 0.0098 0.0163 0.0242 0.0043
#> 35  0.0527 0.0383 0.0107 0.0108 0.0085 0.0077 0.0109 0.0062 0.0028 0.0040
#> 36  0.0681 0.1091 0.0919 0.0397 0.0130 0.0093 0.0076 0.0065 0.0072 0.0108
#> 37  0.1286 0.0926 0.0716 0.0325 0.0436 0.0258 0.0136 0.0044 0.0028 0.0021
#> 38  0.1044 0.1225 0.0745 0.0490 0.0547 0.0224 0.0032 0.0076 0.0045 0.0056
#> 39  0.0815 0.1117 0.0950 0.0412 0.0097 0.0120 0.0048 0.0049 0.0041 0.0036
#> 40  0.0978 0.0452 0.0273 0.0179 0.0608 0.0092 0.0018 0.0052 0.0049 0.0096
#> 41  0.0297 0.0241 0.0379 0.0119 0.0445 0.0073 0.0051 0.0034 0.0129 0.0100
#> 42  0.0505 0.0247 0.0219 0.0102 0.0362 0.0047 0.0019 0.0041 0.0074 0.0030
#> 43  0.0278 0.0179 0.0114 0.0073 0.0525 0.0116 0.0092 0.0078 0.0041 0.0013
#> 44  0.0333 0.0205 0.0309 0.0101 0.0667 0.0095 0.0047 0.0072 0.0054 0.0022
#> 45  0.0971 0.0879 0.0863 0.0355 0.0253 0.0233 0.0252 0.0043 0.0048 0.0076
#> 46  0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> 47  0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> 48  0.0801 0.0804 0.0752 0.0566 0.0820 0.0175 0.0058 0.0091 0.0160 0.0160
#> 49  0.2414 0.1077 0.0224 0.0155 0.0391 0.0187 0.0125 0.0028 0.0067 0.0120
#> 50  0.1178 0.0608 0.0333 0.0276 0.0217 0.0100 0.0023 0.0069 0.0025 0.0027
#> 51  0.0965 0.0381 0.0435 0.0336 0.0530 0.0055 0.0079 0.0119 0.0055 0.0035
#> 52  0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> 53  0.0025 0.0327 0.0257 0.0182 0.0679 0.0108 0.0124 0.0077 0.0023 0.0117
#> 54  0.0570 0.0426 0.0425 0.0235 0.0807 0.0006 0.0188 0.0127 0.0081 0.0067
#> 55  0.0505 0.0949 0.0677 0.0259 0.0794 0.0170 0.0033 0.0150 0.0111 0.0032
#> 56  0.0654 0.0844 0.0595 0.0497 0.0339 0.0313 0.0154 0.0106 0.0097 0.0022
#> 57  0.0276 0.0763 0.0631 0.0309 0.0455 0.0240 0.0115 0.0064 0.0022 0.0122
#> 58  0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> 59  0.1700 0.1829 0.1403 0.0506 0.1081 0.0224 0.0095 0.0031 0.0103 0.0078
#> 60  0.1704 0.1587 0.1792 0.1022 0.1130 0.0151 0.0223 0.0110 0.0071 0.0205
#> 61  0.1886 0.1960 0.1701 0.1366 0.0249 0.0398 0.0143 0.0093 0.0033 0.0113
#> 62  0.0729 0.1190 0.1297 0.0748 0.1129 0.0067 0.0255 0.0113 0.0108 0.0085
#> 63  0.1946 0.1723 0.1522 0.0929 0.0227 0.0179 0.0242 0.0083 0.0037 0.0095
#> 64  0.0933 0.1018 0.0309 0.0208 0.0352 0.0318 0.0132 0.0118 0.0120 0.0051
#> 65  0.0606 0.0692 0.0446 0.0344 0.0434 0.0082 0.0108 0.0149 0.0077 0.0036
#> 66  0.0000 0.0000 0.0000 0.0000 0.0521 0.0000 0.0000 0.0056 0.0237 0.0204
#> 67  0.2438 0.1789 0.1706 0.0762 0.1772 0.0238 0.0268 0.0081 0.0129 0.0161
#> 68  0.1751 0.0841 0.1035 0.0641 0.0620 0.0153 0.0081 0.0191 0.0182 0.0160
#> 69  0.0129 0.0795 0.0762 0.0117 0.1437 0.0061 0.0257 0.0089 0.0262 0.0108
#> 70  0.0553 0.1081 0.1139 0.0767 0.1436 0.0265 0.0215 0.0331 0.0111 0.0088
#> 71  0.0307 0.0237 0.0470 0.0102 0.1913 0.0057 0.0031 0.0163 0.0099 0.0084
#> 72  0.1117 0.1303 0.0787 0.0436 0.0835 0.0224 0.0133 0.0078 0.0174 0.0176
#> 73  0.0932 0.0530 0.0081 0.0342 0.1026 0.0137 0.0028 0.0013 0.0005 0.0227
#> 74  0.1181 0.1150 0.0550 0.0293 0.1675 0.0183 0.0104 0.0117 0.0101 0.0061
#> 75  0.1299 0.0523 0.0817 0.0469 0.3225 0.0114 0.0299 0.0244 0.0199 0.0257
#> 76  0.1111 0.0655 0.0271 0.0244 0.0839 0.0179 0.0109 0.0147 0.0170 0.0158
#> 77  0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> 78  0.1199 0.0959 0.0765 0.0649 0.1117 0.0313 0.0185 0.0098 0.0178 0.0077
#> 79  0.1177 0.0779 0.0495 0.0492 0.1409 0.0194 0.0250 0.0115 0.0190 0.0055
#> 80  0.0307 0.0373 0.0606 0.0399 0.1364 0.0169 0.0135 0.0222 0.0175 0.0127
#> 81  0.1216 0.1013 0.0744 0.0386 0.0432 0.0050 0.0146 0.0040 0.0122 0.0107
#> 82  0.0965 0.1492 0.1128 0.0463 0.1218 0.0193 0.0140 0.0027 0.0068 0.0150
#> 83  0.0779 0.1344 0.0960 0.0598 0.0822 0.0330 0.0197 0.0189 0.0204 0.0085
#> 84  0.1753 0.1079 0.0728 0.0242 0.1117 0.0191 0.0159 0.0172 0.0191 0.0260
#> 85  0.0676 0.0899 0.0927 0.0658 0.0862 0.0086 0.0216 0.0153 0.0121 0.0096
#> 86  0.1395 0.1065 0.0527 0.0395 0.0255 0.0183 0.0353 0.0118 0.0063 0.0237
#> 87  0.1062 0.0643 0.0532 0.0531 0.1776 0.0272 0.0171 0.0118 0.0129 0.0344
#> 88  0.1483 0.0434 0.0627 0.0513 0.2252 0.0473 0.0248 0.0274 0.0205 0.0141
#> 89  0.4232 0.2340 0.1928 0.1092 0.0232 0.0507 0.0228 0.0099 0.0065 0.0085
#> 90  0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> 91  0.3097 0.1578 0.0553 0.0334 0.0748 0.0209 0.0172 0.0180 0.0110 0.0234
#> 92  0.1806 0.1699 0.2559 0.1129 0.0403 0.0201 0.0480 0.0234 0.0175 0.0352
#> 93  0.4305 0.0945 0.0794 0.0274 0.1276 0.0154 0.0140 0.0455 0.0213 0.0082
#> 94  0.0138 0.1164 0.2052 0.1069 0.0165 0.0199 0.0208 0.0176 0.0197 0.0210
#> 95  0.1146 0.0476 0.0943 0.0824 0.0233 0.0171 0.0244 0.0258 0.0143 0.0226
#> 96  0.5777 0.4315 0.2640 0.1794 0.0646 0.0772 0.0798 0.0376 0.0143 0.0272
#> 97  0.5692 0.2630 0.1196 0.0983 0.1693 0.0374 0.0291 0.0156 0.0197 0.0135
#> 98  0.6214 0.3016 0.1379 0.0364 0.0995 0.0355 0.0456 0.0432 0.0274 0.0152
#> 99  0.5293 0.3287 0.1283 0.0698 0.0800 0.0334 0.0342 0.0459 0.0277 0.0172
#> 100 0.7292 0.5522 0.3339 0.1608 0.0635 0.0475 0.1004 0.0709 0.0317 0.0309
#> 101 0.0734 0.0805 0.0608 0.0565 0.1284 0.0286 0.0154 0.0154 0.0156 0.0054
#> 102 0.0417 0.0495 0.0367 0.0115 0.0427 0.0118 0.0133 0.0096 0.0014 0.0049
#> 103 0.0303 0.0674 0.0785 0.0455 0.0410 0.0246 0.0151 0.0125 0.0036 0.0123
#> 104 0.1545 0.1394 0.0772 0.0615 0.0230 0.0230 0.0111 0.0168 0.0086 0.0045
#> 105 0.1058 0.1111 0.0849 0.0596 0.0993 0.0201 0.0071 0.0104 0.0062 0.0026
#> 106 0.1787 0.1112 0.0398 0.0305 0.0915 0.0084 0.0039 0.0053 0.0029 0.0020
#> 107 0.3196 0.2241 0.1806 0.0990 0.0883 0.0251 0.0129 0.0095 0.0126 0.0069
#> 108 0.2674 0.1541 0.1359 0.0941 0.1075 0.0261 0.0079 0.0164 0.0120 0.0113
#> 109 0.2404 0.1128 0.1654 0.0933 0.0746 0.0225 0.0214 0.0221 0.0152 0.0083
#> 110 0.2966 0.2095 0.1558 0.0884 0.0784 0.0265 0.0121 0.0091 0.0062 0.0019
#> 111 0.1790 0.1689 0.1341 0.0769 0.0484 0.0222 0.0205 0.0123 0.0067 0.0011
#> 112 0.1457 0.1175 0.0868 0.0392 0.0420 0.0131 0.0092 0.0078 0.0071 0.0081
#> 113 0.0785 0.1052 0.1034 0.0764 0.0519 0.0216 0.0167 0.0089 0.0051 0.0015
#> 114 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> 115 0.3470 0.2739 0.1790 0.0922 0.0241 0.0276 0.0169 0.0081 0.0040 0.0025
#> 116 0.2226 0.0849 0.0359 0.0289 0.0515 0.0122 0.0045 0.0108 0.0075 0.0089
#> 117 0.1714 0.0694 0.0303 0.0292 0.0428 0.0116 0.0024 0.0084 0.0100 0.0018
#> 118 0.2525 0.1084 0.0372 0.0286 0.0444 0.0099 0.0046 0.0094 0.0048 0.0047
#> 119 0.1211 0.0883 0.0850 0.0355 0.0596 0.0219 0.0086 0.0123 0.0060 0.0187
#> 120 0.0798 0.0701 0.0526 0.0241 0.1615 0.0117 0.0122 0.0122 0.0114 0.0098
#> 121 0.0825 0.0618 0.0141 0.0108 0.1158 0.0124 0.0104 0.0095 0.0151 0.0059
#> 122 0.3639 0.2069 0.0859 0.0600 0.0463 0.0267 0.0125 0.0040 0.0136 0.0137
#> 123 0.0566 0.0766 0.0969 0.0588 0.0597 0.0050 0.0118 0.0146 0.0040 0.0114
#> 124 0.2001 0.0775 0.1232 0.0783 0.0964 0.0089 0.0249 0.0204 0.0059 0.0053
#> 125 0.3593 0.2526 0.2299 0.1271 0.1070 0.0356 0.0367 0.0176 0.0035 0.0093
#> 126 0.1952 0.1539 0.2037 0.1054 0.0613 0.0251 0.0357 0.0181 0.0019 0.0102
#> 127 0.0920 0.1227 0.1785 0.1085 0.1313 0.0300 0.0346 0.0167 0.0199 0.0145
#> 128 0.1901 0.0940 0.1364 0.0906 0.0441 0.0144 0.0329 0.0141 0.0019 0.0067
#> 129 0.2187 0.1840 0.1477 0.0971 0.0759 0.0224 0.0151 0.0105 0.0024 0.0018
#> 130 0.1234 0.1554 0.1057 0.0490 0.0988 0.0097 0.0223 0.0121 0.0108 0.0057
#> 131 0.1883 0.1954 0.1492 0.0511 0.0462 0.0155 0.0189 0.0150 0.0060 0.0082
#> 132 0.1665 0.1807 0.1245 0.0516 0.0936 0.0044 0.0185 0.0072 0.0055 0.0074
#> 133 0.0723 0.0912 0.0812 0.0496 0.0410 0.0101 0.0089 0.0083 0.0080 0.0026
#> 134 0.2265 0.1766 0.1097 0.0558 0.0958 0.0142 0.0281 0.0165 0.0056 0.0010
#> 135 0.1985 0.1570 0.0921 0.0549 0.0596 0.0194 0.0166 0.0132 0.0027 0.0022
#> 136 0.2047 0.1716 0.1069 0.0477 0.0788 0.0170 0.0186 0.0096 0.0071 0.0084
#> 137 0.1651 0.1181 0.0720 0.0321 0.0076 0.0056 0.0202 0.0141 0.0103 0.0100
#> 138 0.2012 0.1688 0.1037 0.0501 0.0529 0.0136 0.0130 0.0120 0.0039 0.0053
#> 139 0.0985 0.1258 0.0954 0.0489 0.0167 0.0241 0.0042 0.0086 0.0046 0.0126
#>        V55    V56    V57    V58    V59     V6    V60     V7     V8     V9
#> 1   0.0072 0.0167 0.0180 0.0084 0.0090 0.0986 0.0032 0.1539 0.1601 0.3109
#> 2   0.0094 0.0191 0.0140 0.0049 0.0052 0.2583 0.0044 0.2156 0.3481 0.3337
#> 3   0.0180 0.0244 0.0316 0.0164 0.0095 0.2280 0.0078 0.2431 0.3771 0.5598
#> 4   0.0110 0.0015 0.0072 0.0048 0.0107 0.0649 0.0094 0.1209 0.2467 0.3564
#> 5   0.0013 0.0089 0.0057 0.0027 0.0051 0.0990 0.0062 0.1201 0.1833 0.2105
#> 6   0.0121 0.0097 0.0085 0.0047 0.0048 0.0922 0.0053 0.1027 0.0613 0.1465
#> 7   0.0084 0.0068 0.0032 0.0035 0.0056 0.0671 0.0040 0.1056 0.0697 0.0962
#> 8   0.0074 0.0118 0.0026 0.0092 0.0009 0.0102 0.0044 0.0182 0.0579 0.1122
#> 9   0.0212 0.0076 0.0152 0.0049 0.0200 0.2294 0.0073 0.2176 0.2033 0.1459
#> 10  0.0109 0.0048 0.0095 0.0015 0.0073 0.1185 0.0067 0.1683 0.1541 0.1466
#> 11  0.0108 0.0024 0.0045 0.0037 0.0112 0.0809 0.0075 0.0568 0.0219 0.1037
#> 12  0.0121 0.0006 0.0181 0.0094 0.0116 0.2559 0.0063 0.2947 0.4110 0.4983
#> 13  0.0042 0.0054 0.0049 0.0082 0.0028 0.3070 0.0027 0.3008 0.2362 0.3830
#> 14  0.0078 0.0075 0.0105 0.0160 0.0095 0.0816 0.0011 0.0993 0.0315 0.0736
#> 15  0.0030 0.0011 0.0007 0.0024 0.0057 0.0151 0.0044 0.0541 0.0210 0.0505
#> 16  0.0075 0.0124 0.0099 0.0057 0.0032 0.0526 0.0019 0.0688 0.0633 0.0624
#> 17  0.0088 0.0047 0.0117 0.0020 0.0091 0.0201 0.0058 0.0314 0.0651 0.1896
#> 18  0.0203 0.0089 0.0095 0.0095 0.0021 0.0571 0.0053 0.1004 0.0668 0.0691
#> 19  0.0188 0.0101 0.0229 0.0182 0.0046 0.0200 0.0038 0.0981 0.1016 0.2025
#> 20  0.0100 0.0096 0.0077 0.0180 0.0109 0.1432 0.0070 0.1344 0.2041 0.1571
#> 21  0.0065 0.0129 0.0217 0.0087 0.0077 0.0706 0.0122 0.1020 0.0893 0.0381
#> 22  0.0054 0.0063 0.0143 0.0132 0.0051 0.0981 0.0041 0.0843 0.1172 0.0759
#> 23  0.0038 0.0018 0.0113 0.0058 0.0047 0.0492 0.0071 0.0033 0.0398 0.0791
#> 24  0.0026 0.0097 0.0098 0.0043 0.0071 0.0795 0.0108 0.0970 0.0872 0.0743
#> 25  0.0045 0.0068 0.0041 0.0052 0.0194 0.0637 0.0105 0.0422 0.1130 0.1911
#> 26  0.0114 0.0054 0.0089 0.0050 0.0058 0.0458 0.0025 0.0470 0.0057 0.0425
#> 27  0.0106 0.0020 0.0105 0.0049 0.0070 0.0438 0.0080 0.1299 0.1390 0.0695
#> 28  0.0086 0.0092 0.0070 0.0116 0.0060 0.1172 0.0110 0.1450 0.0638 0.0740
#> 29  0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> 30  0.0090 0.0051 0.0029 0.0122 0.0056 0.1750 0.0020 0.0920 0.1353 0.1593
#> 31  0.0006 0.0073 0.0096 0.0054 0.0085 0.0733 0.0060 0.0841 0.1031 0.0993
#> 32  0.0094 0.0140 0.0072 0.0022 0.0055 0.0690 0.0122 0.0901 0.1454 0.0740
#> 33  0.0123 0.0069 0.0076 0.0073 0.0030 0.1883 0.0138 0.1422 0.1447 0.0487
#> 34  0.0202 0.0108 0.0037 0.0096 0.0093 0.0792 0.0053 0.1083 0.0687 0.0298
#> 35  0.0075 0.0039 0.0053 0.0013 0.0052 0.0767 0.0023 0.0771 0.0640 0.0726
#> 36  0.0051 0.0102 0.0041 0.0055 0.0050 0.0612 0.0087 0.0895 0.1107 0.0973
#> 37  0.0022 0.0048 0.0138 0.0140 0.0028 0.0668 0.0064 0.0609 0.0131 0.0899
#> 38  0.0075 0.0037 0.0045 0.0029 0.0008 0.0208 0.0018 0.0891 0.0836 0.1335
#> 39  0.0013 0.0046 0.0037 0.0011 0.0034 0.0391 0.0033 0.0857 0.0915 0.0949
#> 40  0.0134 0.0122 0.0047 0.0018 0.0006 0.1026 0.0023 0.1139 0.0877 0.1160
#> 41  0.0044 0.0057 0.0030 0.0035 0.0021 0.0906 0.0027 0.0889 0.0655 0.1624
#> 42  0.0050 0.0048 0.0017 0.0041 0.0086 0.0696 0.0058 0.0873 0.0616 0.1252
#> 43  0.0011 0.0045 0.0039 0.0022 0.0023 0.0778 0.0016 0.0931 0.0941 0.1711
#> 44  0.0016 0.0029 0.0058 0.0050 0.0024 0.0771 0.0030 0.0499 0.0906 0.1229
#> 45  0.0124 0.0105 0.0054 0.0032 0.0073 0.0806 0.0063 0.0701 0.0738 0.0117
#> 46  0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> 47  0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#> 48  0.0081 0.0070 0.0135 0.0067 0.0078 0.1342 0.0068 0.1161 0.0663 0.0155
#> 49  0.0012 0.0022 0.0058 0.0042 0.0067 0.0249 0.0012 0.0892 0.0973 0.0840
#> 50  0.0052 0.0036 0.0026 0.0036 0.0006 0.0284 0.0035 0.0527 0.0575 0.1054
#> 51  0.0036 0.0004 0.0018 0.0049 0.0024 0.1197 0.0016 0.1243 0.1026 0.1239
#> 52  0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> 53  0.0053 0.0077 0.0076 0.0056 0.0055 0.0863 0.0039 0.1004 0.0664 0.0941
#> 54  0.0043 0.0065 0.0049 0.0054 0.0073 0.1529 0.0054 0.1154 0.0608 0.1317
#> 55  0.0035 0.0169 0.0137 0.0015 0.0069 0.0804 0.0051 0.1136 0.1228 0.1235
#> 56  0.0052 0.0072 0.0056 0.0038 0.0043 0.0860 0.0030 0.1738 0.1351 0.1063
#> 57  0.0151 0.0056 0.0026 0.0029 0.0104 0.1452 0.0163 0.2211 0.1188 0.0750
#> 58  0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> 59  0.0077 0.0094 0.0031 0.0030 0.0013 0.1164 0.0069 0.1398 0.1009 0.1147
#> 60  0.0164 0.0063 0.0078 0.0094 0.0110 0.1306 0.0068 0.2112 0.2268 0.2992
#> 61  0.0030 0.0057 0.0090 0.0057 0.0068 0.0488 0.0024 0.1424 0.1972 0.1873
#> 62  0.0047 0.0074 0.0104 0.0161 0.0220 0.0973 0.0173 0.1823 0.1745 0.1440
#> 63  0.0105 0.0030 0.0132 0.0068 0.0108 0.0834 0.0090 0.0677 0.2002 0.2876
#> 64  0.0070 0.0015 0.0035 0.0008 0.0044 0.0701 0.0077 0.1263 0.1080 0.1523
#> 65  0.0114 0.0085 0.0101 0.0016 0.0028 0.1224 0.0014 0.1947 0.1661 0.1368
#> 66  0.0050 0.0137 0.0164 0.0081 0.0139 0.1051 0.0111 0.0145 0.0674 0.1294
#> 67  0.0063 0.0119 0.0194 0.0140 0.0332 0.1908 0.0439 0.2217 0.0768 0.1246
#> 68  0.0290 0.0090 0.0242 0.0224 0.0190 0.0871 0.0096 0.1201 0.2707 0.1206
#> 69  0.0138 0.0187 0.0230 0.0057 0.0113 0.1190 0.0131 0.0884 0.0907 0.2107
#> 70  0.0158 0.0122 0.0038 0.0101 0.0228 0.0561 0.0124 0.0832 0.0672 0.1372
#> 71  0.0270 0.0277 0.0097 0.0054 0.0148 0.0924 0.0092 0.0761 0.1092 0.0757
#> 72  0.0038 0.0129 0.0066 0.0044 0.0134 0.0756 0.0092 0.0374 0.0961 0.0548
#> 73  0.0209 0.0081 0.0117 0.0114 0.0112 0.0773 0.0100 0.0853 0.0447 0.1094
#> 74  0.0031 0.0099 0.0080 0.0107 0.0161 0.0418 0.0133 0.0723 0.0828 0.0494
#> 75  0.0082 0.0151 0.0171 0.0146 0.0134 0.2247 0.0056 0.0617 0.2287 0.0950
#> 76  0.0046 0.0073 0.0054 0.0033 0.0045 0.1673 0.0079 0.1154 0.1098 0.1370
#> 77  0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> 78  0.0074 0.0095 0.0055 0.0045 0.0063 0.1506 0.0039 0.1776 0.0997 0.1428
#> 79  0.0096 0.0050 0.0066 0.0114 0.0073 0.1916 0.0033 0.1349 0.1613 0.1703
#> 80  0.0022 0.0124 0.0054 0.0021 0.0028 0.1513 0.0023 0.1316 0.1654 0.1864
#> 81  0.0112 0.0102 0.0052 0.0024 0.0079 0.0735 0.0031 0.0938 0.1134 0.1228
#> 82  0.0012 0.0133 0.0048 0.0244 0.0077 0.1538 0.0074 0.1192 0.1229 0.2119
#> 83  0.0043 0.0092 0.0138 0.0094 0.0105 0.1256 0.0093 0.1323 0.1584 0.2017
#> 84  0.0140 0.0125 0.0116 0.0093 0.0012 0.1651 0.0036 0.1597 0.2116 0.3295
#> 85  0.0196 0.0042 0.0066 0.0099 0.0083 0.1801 0.0124 0.1916 0.1896 0.2960
#> 86  0.0032 0.0087 0.0124 0.0113 0.0098 0.1422 0.0126 0.2072 0.2734 0.3070
#> 87  0.0065 0.0067 0.0022 0.0079 0.0146 0.1428 0.0051 0.1773 0.2161 0.1630
#> 88  0.0185 0.0055 0.0045 0.0115 0.0152 0.2611 0.0100 0.2061 0.1668 0.1801
#> 89  0.0166 0.0110 0.0190 0.0141 0.0068 0.1267 0.0086 0.2417 0.2661 0.4346
#> 90  0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> 91  0.0276 0.0032 0.0084 0.0122 0.0082 0.1125 0.0143 0.3322 0.4590 0.5526
#> 92  0.0158 0.0326 0.0201 0.0168 0.0245 0.1227 0.0154 0.2495 0.4566 0.6587
#> 93  0.0124 0.0167 0.0103 0.0205 0.0178 0.1731 0.0187 0.1948 0.4262 0.6828
#> 94  0.0141 0.0049 0.0027 0.0162 0.0059 0.0277 0.0021 0.0569 0.2057 0.3887
#> 95  0.0187 0.0185 0.0110 0.0094 0.0078 0.1048 0.0112 0.1338 0.0644 0.1522
#> 96  0.0127 0.0166 0.0095 0.0225 0.0098 0.1124 0.0085 0.1787 0.2407 0.2682
#> 97  0.0127 0.0138 0.0133 0.0131 0.0154 0.0844 0.0218 0.0715 0.0947 0.1583
#> 98  0.0120 0.0129 0.0020 0.0109 0.0074 0.2431 0.0078 0.1777 0.2018 0.2611
#> 99  0.0087 0.0046 0.0203 0.0130 0.0115 0.0629 0.0015 0.0130 0.0813 0.1761
#> 100 0.0252 0.0087 0.0177 0.0214 0.0227 0.1328 0.0106 0.0988 0.1787 0.1199
#> 101 0.0030 0.0048 0.0087 0.0101 0.0095 0.1165 0.0068 0.1285 0.1684 0.1830
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#> 104 0.0062 0.0065 0.0030 0.0066 0.0029 0.0481 0.0053 0.0742 0.0333 0.1369
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#> 108 0.0021 0.0097 0.0072 0.0060 0.0017 0.1019 0.0036 0.1606 0.2119 0.3061
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#> 110 0.0045 0.0079 0.0031 0.0063 0.0048 0.1250 0.0050 0.1296 0.1729 0.2794
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#> 113 0.0075 0.0058 0.0016 0.0070 0.0074 0.0849 0.0038 0.0812 0.1833 0.2228
#> 114 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> 115 0.0036 0.0058 0.0067 0.0035 0.0043 0.0253 0.0033 0.0279 0.0130 0.0489
#> 116 0.0036 0.0029 0.0013 0.0010 0.0032 0.0817 0.0047 0.1005 0.0124 0.1168
#> 117 0.0035 0.0058 0.0011 0.0009 0.0033 0.0349 0.0026 0.0384 0.0446 0.1318
#> 118 0.0016 0.0008 0.0042 0.0024 0.0027 0.0744 0.0041 0.0800 0.0456 0.0368
#> 119 0.0111 0.0126 0.0081 0.0155 0.0160 0.0808 0.0085 0.2090 0.3465 0.5276
#> 120 0.0027 0.0025 0.0026 0.0050 0.0073 0.0887 0.0022 0.0596 0.1071 0.3175
#> 121 0.0015 0.0053 0.0016 0.0042 0.0053 0.1482 0.0074 0.2054 0.1605 0.2532
#> 122 0.0172 0.0132 0.0110 0.0122 0.0114 0.0690 0.0068 0.0576 0.1103 0.2423
#> 123 0.0032 0.0062 0.0101 0.0068 0.0053 0.1416 0.0087 0.0956 0.0802 0.1618
#> 124 0.0079 0.0037 0.0015 0.0056 0.0067 0.1827 0.0054 0.1106 0.1702 0.2804
#> 125 0.0121 0.0075 0.0056 0.0021 0.0043 0.0973 0.0017 0.0961 0.1323 0.2462
#> 126 0.0133 0.0040 0.0042 0.0030 0.0031 0.1039 0.0033 0.1016 0.1394 0.2592
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#> 130 0.0028 0.0079 0.0034 0.0046 0.0022 0.1425 0.0021 0.1463 0.1219 0.1697
#> 131 0.0091 0.0038 0.0056 0.0056 0.0048 0.0779 0.0024 0.1365 0.0780 0.1038
#> 132 0.0068 0.0084 0.0037 0.0024 0.0034 0.1146 0.0007 0.0706 0.0996 0.1673
#> 133 0.0079 0.0042 0.0071 0.0044 0.0022 0.0491 0.0014 0.1053 0.1690 0.2105
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#> 138 0.0062 0.0046 0.0045 0.0022 0.0005 0.1091 0.0031 0.1709 0.1684 0.1865
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#>  [75] 1 0 0 1 1 1 0 1 1 1 1 1 0 1 0 0 0 0 1 1 1 0 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1
#> [112] 0 0 0 0 1 1 1 1 1 0 0 1 0 0 1 0 0 1 1 1 1 1 1 0 1 0 1 1
#> 
#> $weights[[24]]
#>   [1] 1 0 1 1 0 1 1 0 0 1 1 0 1 1 1 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 0 1 1 1 1 0 0
#>  [38] 1 0 0 1 1 1 0 1 0 0 0 1 0 1 1 1 1 0 1 1 0 1 0 1 0 0 0 0 1 1 1 1 1 1 1 1 1
#>  [75] 1 1 1 1 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 1 1 0 1 1 0 0 1 1 1 1 1
#> [112] 1 1 1 1 0 1 0 0 0 0 1 1 1 1 1 0 1 1 1 0 0 0 1 1 1 1 0 1
#> 
#> $weights[[25]]
#>   [1] 1 0 0 1 1 1 1 0 1 0 0 1 1 1 0 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 0 0 1 0 1 1 1
#>  [38] 1 1 1 0 1 0 1 1 1 1 0 1 0 1 0 0 0 0 1 0 1 1 0 0 0 1 1 1 1 0 1 0 0 0 0 1 1
#>  [75] 1 1 1 0 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 1 0 0 1 0 0 0 1 0 0 0 1 0
#> [112] 0 1 1 0 1 0 1 1 1 0 0 1 1 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1
#> 
#> $weights[[26]]
#>   [1] 1 1 1 1 1 0 0 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 1 0 1 1 1 0 1 1 0 1 0 0 1 0 0
#>  [38] 1 0 1 1 1 1 1 1 0 0 0 1 0 1 0 1 1 1 0 0 0 1 0 1 1 1 1 0 1 0 1 1 0 1 1 0 0
#>  [75] 0 1 1 1 1 1 1 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1
#> [112] 0 0 0 0 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 0 1 0 1 1 0 1 1 1
#> 
#> $weights[[27]]
#>   [1] 1 1 1 1 1 0 1 0 1 0 1 0 1 1 0 0 0 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 0 1 0 1 0
#>  [38] 1 1 1 1 1 1 0 1 0 0 0 0 1 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 1 0 0
#>  [75] 0 0 1 1 1 0 1 1 0 1 0 0 0 0 1 1 1 1 0 0 1 1 0 1 0 1 1 0 1 1 1 0 1 0 0 1 0
#> [112] 1 1 0 1 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 0 1 0 1 0 1 1
#> 
#> $weights[[28]]
#>   [1] 0 1 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 0 1 0 1 0 0 1 1 1 0 0 1 0 1 1 1 0 1 0 0
#>  [38] 1 1 1 0 0 1 0 1 1 1 1 1 0 0 1 0 1 0 1 0 1 1 1 0 1 1 1 1 1 1 1 0 0 0 1 0 1
#>  [75] 1 0 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 0 1
#> [112] 0 1 1 1 1 0 1 1 1 1 0 1 0 1 1 1 0 1 1 0 1 1 0 1 0 0 1 1
#> 
#> $weights[[29]]
#>   [1] 1 1 1 1 1 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 0 0 0 0 1 1 1 1 1 0 1 0 0 1 1
#>  [38] 1 0 0 1 0 1 0 1 0 0 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 0 1 1 1 0 1
#>  [75] 1 1 0 0 0 0 1 1 0 1 0 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 1 0 1 0 1 0 1 0 1 1 0
#> [112] 1 1 1 1 1 1 0 0 0 0 0 0 0 1 0 1 0 1 1 0 1 1 1 0 1 0 0 1
#> 
#> $weights[[30]]
#>   [1] 0 1 0 0 1 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0
#>  [38] 0 0 0 1 1 0 1 1 1 1 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0 0 0 0 1 0 1 1
#>  [75] 0 0 1 1 1 0 1 0 1 1 0 1 1 1 1 0 1 1 0 0 0 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1
#> [112] 1 0 0 0 1 1 0 1 1 1 1 0 1 0 0 0 0 0 0 1 0 0 1 1 0 0 1 0
#> 
#> $weights[[31]]
#>   [1] 1 1 0 1 0 1 0 0 1 1 0 1 1 1 0 0 1 1 1 0 1 1 1 1 0 0 0 1 0 0 1 0 1 1 1 0 1
#>  [38] 0 1 0 1 0 1 0 0 0 0 1 0 1 1 1 1 1 0 1 0 0 1 0 0 0 0 1 0 1 1 1 1 1 1 1 0 0
#>  [75] 1 1 0 0 1 0 1 1 1 0 1 1 1 1 1 0 1 1 0 1 0 1 0 0 1 0 0 1 1 1 1 1 1 1 1 0 0
#> [112] 0 1 0 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1
#> 
#> $weights[[32]]
#>   [1] 0 1 1 0 0 0 1 1 0 1 0 1 1 1 1 1 1 1 0 1 0 0 0 1 1 1 0 1 0 1 1 1 1 1 1 1 0
#>  [38] 0 1 0 1 1 1 1 0 0 1 0 1 1 0 1 0 1 0 1 1 1 0 0 1 0 0 1 0 1 1 0 0 1 1 1 0 1
#>  [75] 1 1 1 1 1 1 1 0 1 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 1 1 1 0 0 0 0 1 1 0 0
#> [112] 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1
#> 
#> $weights[[33]]
#>   [1] 1 1 0 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 0 1 0 0 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1
#>  [38] 0 0 0 0 0 1 1 1 0 1 0 0 1 1 1 1 0 1 1 1 0 0 1 0 0 1 1 0 0 0 1 1 0 0 0 0 1
#>  [75] 1 1 0 0 1 0 1 0 1 0 1 0 1 0 1 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1
#> [112] 1 1 1 1 1 0 0 1 0 1 0 1 0 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0
#> 
#> $weights[[34]]
#>   [1] 0 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 1 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1
#>  [38] 0 0 1 1 1 1 0 1 0 0 0 1 0 1 1 1 0 1 0 1 1 1 1 0 0 0 0 1 0 1 1 0 0 1 1 0 0
#>  [75] 1 1 0 0 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 1 1
#> [112] 1 0 1 1 0 0 1 0 0 1 1 1 1 1 1 1 0 0 1 1 0 1 1 1 1 0 1 1
#> 
#> $weights[[35]]
#>   [1] 1 1 1 0 0 1 0 0 1 1 0 1 1 1 1 0 1 1 0 0 1 1 1 0 0 1 0 0 0 1 0 1 0 1 1 1 1
#>  [38] 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 1 0 1 0 1 1 0 0 1 1 1 1 1 0 1 1 0 0 1 1 1 1
#>  [75] 0 1 1 1 1 1 0 1 0 1 0 1 1 1 0 1 1 1 1 0 0 1 1 0 1 0 1 1 1 1 0 0 0 0 1 1 1
#> [112] 1 0 1 1 0 0 1 1 1 1 0 0 1 0 1 1 1 1 1 1 0 1 1 1 1 1 1 1
#> 
#> $weights[[36]]
#>   [1] 1 1 1 1 1 1 0 1 1 0 0 1 0 0 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 1 0 0 1 1 0 1 1
#>  [38] 1 1 0 1 1 0 0 1 1 0 1 1 0 1 1 0 0 1 1 1 0 0 1 0 1 0 1 0 1 1 0 1 1 0 1 1 0
#>  [75] 1 0 1 0 1 1 0 1 0 1 1 1 1 1 0 1 0 0 1 0 1 1 0 0 0 1 1 0 0 1 0 0 0 1 1 1 0
#> [112] 1 1 1 0 0 1 1 0 1 1 0 1 0 0 1 1 1 1 0 1 0 1 1 1 1 0 1 1
#> 
#> $weights[[37]]
#>   [1] 0 0 1 1 0 1 0 1 1 0 1 1 0 1 0 0 1 0 1 0 1 1 0 1 1 1 0 1 1 0 0 1 1 1 1 0 1
#>  [38] 1 1 1 1 1 0 1 1 0 0 1 1 0 0 0 1 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0 0 0
#>  [75] 1 1 1 1 0 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 1 0 1 1 0 0 0 1 1 1 1 0 1 0 1 1 1
#> [112] 0 1 0 1 1 1 0 1 0 1 1 1 0 1 0 0 0 1 0 0 1 1 0 0 1 0 1 0
#> 
#> $weights[[38]]
#>   [1] 1 1 0 1 0 1 0 1 1 0 1 0 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0 0 0 0 1 0 1 0 1 1 0
#>  [38] 0 1 0 1 0 1 1 1 1 1 1 1 0 0 0 1 1 0 0 1 1 1 1 1 0 0 0 0 1 0 1 0 0 1 1 1 1
#>  [75] 1 0 0 1 1 0 1 1 1 1 1 1 1 1 1 1 1 0 1 0 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 1
#> [112] 1 0 0 1 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 1 0 0 1 0 0 0 0
#> 
#> $weights[[39]]
#>   [1] 0 1 0 1 1 1 0 1 1 1 1 0 1 0 0 1 1 1 1 1 1 0 0 0 1 1 1 0 0 0 1 0 0 1 1 1 1
#>  [38] 1 1 1 0 1 0 1 1 1 0 1 1 0 1 1 0 1 0 0 1 0 0 1 1 0 1 0 1 0 1 0 1 1 1 1 0 0
#>  [75] 0 1 1 1 1 0 0 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 1 0
#> [112] 0 0 1 1 1 1 1 0 1 1 1 1 0 0 1 0 1 1 0 1 0 0 0 1 1 1 0 1
#> 
#> $weights[[40]]
#>   [1] 0 1 1 1 1 0 1 1 0 1 0 0 0 1 1 1 0 1 1 1 1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 0 0
#>  [38] 1 0 0 1 0 0 1 1 1 1 0 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 0 1 1 1 1
#>  [75] 0 0 1 1 0 1 1 0 1 0 1 1 0 0 1 0 1 1 0 0 0 1 1 1 1 1 1 1 1 0 0 1 1 0 0 0 1
#> [112] 1 1 1 0 1 0 1 1 0 1 1 0 1 0 1 1 1 0 0 1 1 1 1 1 1 1 1 0
#> 
#> $weights[[41]]
#>   [1] 0 0 1 0 1 0 1 1 1 1 1 1 1 0 0 0 1 1 1 0 0 0 1 1 1 1 0 1 0 0 0 1 1 0 1 1 0
#>  [38] 1 0 1 1 1 1 0 0 1 0 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 1 0 1 1 1 1 1 1 1 0 0 0
#>  [75] 0 1 1 1 0 0 1 1 1 1 1 1 1 1 1 1 0 1 0 1 1 0 1 1 1 0 0 0 1 1 1 1 1 0 1 1 0
#> [112] 1 0 1 1 1 0 1 1 1 1 0 1 1 1 0 0 0 0 0 0 1 1 1 0 0 1 0 0
#> 
#> $weights[[42]]
#>   [1] 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 0 0 1 0 1 1 0 1 0 1 1 0 0 0 0 0 0 1 1 0
#>  [38] 1 1 0 1 1 1 1 1 0 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 1 1 1 0
#>  [75] 0 0 1 1 0 1 1 0 1 0 0 0 1 1 1 0 1 1 1 0 0 0 1 0 1 1 0 1 1 0 0 0 1 0 0 1 1
#> [112] 1 1 0 1 0 0 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 1 0 0 1 1 1 1
#> 
#> $weights[[43]]
#>   [1] 1 1 0 0 1 1 0 0 1 1 0 0 0 1 0 0 1 1 1 1 1 0 1 0 1 1 0 1 0 1 1 1 1 0 1 0 0
#>  [38] 1 1 1 1 1 0 0 1 1 1 1 0 0 1 1 0 0 0 0 0 1 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1 0
#>  [75] 1 1 0 1 0 0 1 1 0 0 1 1 1 1 1 0 0 0 1 1 1 1 0 1 1 1 0 0 0 1 0 0 1 1 1 1 0
#> [112] 0 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 1 1 0 1 1
#> 
#> $weights[[44]]
#>   [1] 0 1 1 0 0 1 1 1 1 1 1 1 1 0 0 0 1 1 1 0 0 1 1 1 0 0 0 1 1 1 1 1 1 1 1 1 0
#>  [38] 1 1 0 0 1 0 1 1 1 1 1 0 0 1 0 0 0 1 1 0 0 1 1 1 0 1 1 1 1 0 1 0 1 0 1 0 0
#>  [75] 1 1 0 0 1 1 0 0 1 1 0 1 1 0 0 1 1 1 1 1 1 0 1 1 1 1 1 0 1 1 1 1 0 0 1 1 0
#> [112] 1 0 1 1 0 1 1 1 0 0 1 1 1 0 0 1 1 0 1 1 1 0 1 0 0 1 0 0
#> 
#> $weights[[45]]
#>   [1] 1 1 1 1 0 1 1 0 1 1 1 0 1 0 1 1 1 1 0 1 1 0 1 0 1 1 1 1 1 1 1 1 0 1 1 1 1
#>  [38] 1 0 1 0 0 0 1 0 1 0 1 0 1 1 1 1 0 0 0 0 0 1 1 1 1 0 1 0 0 1 1 0 0 0 1 1 0
#>  [75] 0 1 1 1 1 1 1 0 1 0 0 1 1 0 1 0 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 0 0 0 0 1 1
#> [112] 1 1 1 1 1 0 1 0 1 1 1 1 0 0 0 1 0 1 0 1 0 1 1 0 0 0 1 1
#> 
#> $weights[[46]]
#>   [1] 1 1 1 1 0 0 1 0 1 0 1 0 1 1 1 1 1 0 1 1 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 1 0
#>  [38] 0 1 1 0 0 1 0 0 1 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1 0 0 0 1 1 0 1 1 0 1 0 1 1
#>  [75] 1 0 0 0 0 1 1 0 1 0 1 1 1 1 1 0 0 0 1 1 0 1 1 1 0 1 0 0 1 0 0 1 1 0 1 1 1
#> [112] 1 1 1 0 1 1 1 0 1 0 1 0 0 1 0 1 0 0 1 1 0 1 1 1 0 1 0 1
#> 
#> $weights[[47]]
#>   [1] 0 1 0 0 1 1 0 0 0 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 0 0 1 1 1 0 0 0 1 1 1 0 0
#>  [38] 1 1 0 0 1 1 0 0 1 1 0 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 0 0 0 1 0 0 1 0 1 1
#>  [75] 0 1 0 1 1 1 0 1 1 1 1 1 1 0 1 0 0 0 0 1 1 1 1 0 1 0 1 0 0 0 0 1 1 0 1 0 1
#> [112] 1 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 1 0 1 1 1 0 0 0 0 1 1
#> 
#> $weights[[48]]
#>   [1] 0 0 1 1 0 1 1 1 0 1 1 1 0 0 1 0 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 0 1 1 1 1 1
#>  [38] 1 0 0 0 1 1 1 1 1 1 1 1 1 0 0 1 0 1 0 1 0 0 0 1 1 1 1 1 0 1 0 1 0 0 1 1 1
#>  [75] 0 1 1 0 1 0 1 1 0 1 1 0 1 0 1 0 1 1 1 0 1 1 1 1 1 0 1 0 1 0 0 0 0 1 1 0 0
#> [112] 0 0 1 1 0 1 0 1 0 1 1 1 0 1 0 1 1 1 1 0 1 0 1 0 1 0 1 1
#> 
#> $weights[[49]]
#>   [1] 1 1 0 0 0 1 1 1 0 1 1 1 1 0 1 1 1 1 1 1 1 0 1 0 1 1 0 1 0 0 1 1 1 1 1 0 0
#>  [38] 1 0 1 1 0 1 1 0 1 1 1 0 0 1 0 0 0 1 0 1 1 1 1 1 1 0 1 0 1 1 1 0 0 1 1 0 0
#>  [75] 0 0 1 0 0 0 0 1 1 1 1 0 0 1 1 1 1 1 1 1 0 0 1 1 1 0 0 1 1 1 1 1 1 0 0 1 1
#> [112] 1 0 1 0 0 0 1 1 1 1 1 1 1 1 0 1 0 0 1 0 1 1 1 1 0 0 1 0
#> 
#> $weights[[50]]
#>   [1] 1 0 0 1 1 0 0 1 0 1 0 0 1 0 0 1 1 1 1 1 0 1 1 1 0 0 1 1 1 1 0 1 0 0 0 1 1
#>  [38] 1 1 1 0 0 1 0 1 1 0 1 1 0 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 0 1 1 0 1 1 1 0 1
#>  [75] 1 1 0 0 1 1 0 0 1 0 0 0 1 1 1 1 0 1 0 1 1 0 1 1 1 0 0 0 0 1 0 1 0 1 1 0 0
#> [112] 1 1 1 1 0 0 1 0 1 1 0 0 1 1 1 0 1 1 1 1 0 1 1 1 0 1 1 1
#> 
#> 
#> $fitted
#>     idx (response)
#> 1     1          R
#> 2     2          R
#> 3     3          R
#> 4     4          R
#> 5     5          R
#> 6     6          R
#> 7     7          R
#> 8     8          R
#> 9     9          R
#> 10   10          R
#> 11   11          R
#> 12   12          R
#> 13   13          R
#> 14   14          R
#> 15   15          R
#> 16   16          R
#> 17   17          R
#> 18   18          R
#> 19   19          R
#> 20   20          R
#> 21   21          R
#> 22   22          R
#> 23   23          R
#> 24   24          R
#> 25   25          R
#> 26   26          R
#> 27   27          R
#> 28   28          R
#> 29   29          R
#> 30   30          R
#> 31   31          R
#> 32   32          R
#> 33   33          R
#> 34   34          R
#> 35   35          R
#> 36   36          R
#> 37   37          R
#> 38   38          R
#> 39   39          R
#> 40   40          R
#> 41   41          R
#> 42   42          R
#> 43   43          R
#> 44   44          R
#> 45   45          R
#> 46   46          R
#> 47   47          R
#> 48   48          R
#> 49   49          R
#> 50   50          R
#> 51   51          R
#> 52   52          R
#> 53   53          R
#> 54   54          R
#> 55   55          R
#> 56   56          R
#> 57   57          R
#> 58   58          R
#> 59   59          R
#> 60   60          R
#> 61   61          R
#> 62   62          R
#> 63   63          R
#> 64   64          R
#> 65   65          R
#> 66   66          R
#> 67   67          M
#> 68   68          M
#> 69   69          M
#> 70   70          M
#> 71   71          M
#> 72   72          M
#> 73   73          M
#> 74   74          M
#> 75   75          M
#> 76   76          M
#> 77   77          M
#> 78   78          M
#> 79   79          M
#> 80   80          M
#> 81   81          M
#> 82   82          M
#> 83   83          M
#> 84   84          M
#> 85   85          M
#> 86   86          M
#> 87   87          M
#> 88   88          M
#> 89   89          M
#> 90   90          M
#> 91   91          M
#> 92   92          M
#> 93   93          M
#> 94   94          M
#> 95   95          M
#> 96   96          M
#> 97   97          M
#> 98   98          M
#> 99   99          M
#> 100 100          M
#> 101 101          M
#> 102 102          M
#> 103 103          M
#> 104 104          M
#> 105 105          M
#> 106 106          M
#> 107 107          M
#> 108 108          M
#> 109 109          M
#> 110 110          M
#> 111 111          M
#> 112 112          M
#> 113 113          M
#> 114 114          M
#> 115 115          M
#> 116 116          M
#> 117 117          M
#> 118 118          M
#> 119 119          M
#> 120 120          M
#> 121 121          M
#> 122 122          M
#> 123 123          M
#> 124 124          M
#> 125 125          M
#> 126 126          M
#> 127 127          M
#> 128 128          M
#> 129 129          M
#> 130 130          M
#> 131 131          M
#> 132 132          M
#> 133 133          M
#> 134 134          M
#> 135 135          M
#> 136 136          M
#> 137 137          M
#> 138 138          M
#> 139 139          M
#> 
#> $terms
#> Class ~ V1 + V10 + V11 + V12 + V13 + V14 + V15 + V16 + V17 + 
#>     V18 + V19 + V2 + V20 + V21 + V22 + V23 + V24 + V25 + V26 + 
#>     V27 + V28 + V29 + V3 + V30 + V31 + V32 + V33 + V34 + V35 + 
#>     V36 + V37 + V38 + V39 + V4 + V40 + V41 + V42 + V43 + V44 + 
#>     V45 + V46 + V47 + V48 + V49 + V5 + V50 + V51 + V52 + V53 + 
#>     V54 + V55 + V56 + V57 + V58 + V59 + V6 + V60 + V7 + V8 + 
#>     V9
#> attr(,"variables")
#> list(Class, V1, V10, V11, V12, V13, V14, V15, V16, V17, V18, 
#>     V19, V2, V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, 
#>     V3, V30, V31, V32, V33, V34, V35, V36, V37, V38, V39, V4, 
#>     V40, V41, V42, V43, V44, V45, V46, V47, V48, V49, V5, V50, 
#>     V51, V52, V53, V54, V55, V56, V57, V58, V59, V6, V60, V7, 
#>     V8, V9)
#> attr(,"factors")
#>       V1 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V2 V20 V21 V22 V23 V24 V25 V26
#> Class  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V1     1   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V10    0   1   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V11    0   0   1   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V12    0   0   0   1   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V13    0   0   0   0   1   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V14    0   0   0   0   0   1   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V15    0   0   0   0   0   0   1   0   0   0   0  0   0   0   0   0   0   0   0
#> V16    0   0   0   0   0   0   0   1   0   0   0  0   0   0   0   0   0   0   0
#> V17    0   0   0   0   0   0   0   0   1   0   0  0   0   0   0   0   0   0   0
#> V18    0   0   0   0   0   0   0   0   0   1   0  0   0   0   0   0   0   0   0
#> V19    0   0   0   0   0   0   0   0   0   0   1  0   0   0   0   0   0   0   0
#> V2     0   0   0   0   0   0   0   0   0   0   0  1   0   0   0   0   0   0   0
#> V20    0   0   0   0   0   0   0   0   0   0   0  0   1   0   0   0   0   0   0
#> V21    0   0   0   0   0   0   0   0   0   0   0  0   0   1   0   0   0   0   0
#> V22    0   0   0   0   0   0   0   0   0   0   0  0   0   0   1   0   0   0   0
#> V23    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   1   0   0   0
#> V24    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   1   0   0
#> V25    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   1   0
#> V26    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   1
#> V27    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V28    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V29    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V3     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V30    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V31    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V32    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V33    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V34    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V35    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V36    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V37    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V38    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V39    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V4     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V40    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V41    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V42    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V43    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V44    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V45    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V46    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V47    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V48    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V49    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V5     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V50    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V51    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V52    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V53    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V54    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V55    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V56    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V57    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V58    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V59    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V6     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V60    0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V7     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V8     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V9     0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#>       V27 V28 V29 V3 V30 V31 V32 V33 V34 V35 V36 V37 V38 V39 V4 V40 V41 V42 V43
#> Class   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V1      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V10     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V11     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V12     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V13     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V14     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V15     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V16     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V17     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V18     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V19     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V2      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V20     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V21     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V22     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V23     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V24     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V25     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V26     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V27     1   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V28     0   1   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V29     0   0   1  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V3      0   0   0  1   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V30     0   0   0  0   1   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V31     0   0   0  0   0   1   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V32     0   0   0  0   0   0   1   0   0   0   0   0   0   0  0   0   0   0   0
#> V33     0   0   0  0   0   0   0   1   0   0   0   0   0   0  0   0   0   0   0
#> V34     0   0   0  0   0   0   0   0   1   0   0   0   0   0  0   0   0   0   0
#> V35     0   0   0  0   0   0   0   0   0   1   0   0   0   0  0   0   0   0   0
#> V36     0   0   0  0   0   0   0   0   0   0   1   0   0   0  0   0   0   0   0
#> V37     0   0   0  0   0   0   0   0   0   0   0   1   0   0  0   0   0   0   0
#> V38     0   0   0  0   0   0   0   0   0   0   0   0   1   0  0   0   0   0   0
#> V39     0   0   0  0   0   0   0   0   0   0   0   0   0   1  0   0   0   0   0
#> V4      0   0   0  0   0   0   0   0   0   0   0   0   0   0  1   0   0   0   0
#> V40     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   1   0   0   0
#> V41     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   1   0   0
#> V42     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   1   0
#> V43     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   1
#> V44     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V45     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V46     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V47     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V48     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V49     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V5      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V50     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V51     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V52     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V53     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V54     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V55     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V56     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V57     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V58     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V59     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V6      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V60     0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V7      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V8      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V9      0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#>       V44 V45 V46 V47 V48 V49 V5 V50 V51 V52 V53 V54 V55 V56 V57 V58 V59 V6 V60
#> Class   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V1      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V10     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V11     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V12     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V13     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V14     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V15     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V16     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V17     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V18     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V19     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V2      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V20     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V21     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V22     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V23     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V24     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V25     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V26     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V27     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V28     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V29     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V3      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V30     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V31     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V32     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V33     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V34     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V35     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V36     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V37     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V38     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V39     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V4      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V40     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V41     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V42     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V43     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V44     1   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V45     0   1   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V46     0   0   1   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V47     0   0   0   1   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V48     0   0   0   0   1   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V49     0   0   0   0   0   1  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V5      0   0   0   0   0   0  1   0   0   0   0   0   0   0   0   0   0  0   0
#> V50     0   0   0   0   0   0  0   1   0   0   0   0   0   0   0   0   0  0   0
#> V51     0   0   0   0   0   0  0   0   1   0   0   0   0   0   0   0   0  0   0
#> V52     0   0   0   0   0   0  0   0   0   1   0   0   0   0   0   0   0  0   0
#> V53     0   0   0   0   0   0  0   0   0   0   1   0   0   0   0   0   0  0   0
#> V54     0   0   0   0   0   0  0   0   0   0   0   1   0   0   0   0   0  0   0
#> V55     0   0   0   0   0   0  0   0   0   0   0   0   1   0   0   0   0  0   0
#> V56     0   0   0   0   0   0  0   0   0   0   0   0   0   1   0   0   0  0   0
#> V57     0   0   0   0   0   0  0   0   0   0   0   0   0   0   1   0   0  0   0
#> V58     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   1   0  0   0
#> V59     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   1  0   0
#> V6      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  1   0
#> V60     0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   1
#> V7      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V8      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V9      0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#>       V7 V8 V9
#> Class  0  0  0
#> V1     0  0  0
#> V10    0  0  0
#> V11    0  0  0
#> V12    0  0  0
#> V13    0  0  0
#> V14    0  0  0
#> V15    0  0  0
#> V16    0  0  0
#> V17    0  0  0
#> V18    0  0  0
#> V19    0  0  0
#> V2     0  0  0
#> V20    0  0  0
#> V21    0  0  0
#> V22    0  0  0
#> V23    0  0  0
#> V24    0  0  0
#> V25    0  0  0
#> V26    0  0  0
#> V27    0  0  0
#> V28    0  0  0
#> V29    0  0  0
#> V3     0  0  0
#> V30    0  0  0
#> V31    0  0  0
#> V32    0  0  0
#> V33    0  0  0
#> V34    0  0  0
#> V35    0  0  0
#> V36    0  0  0
#> V37    0  0  0
#> V38    0  0  0
#> V39    0  0  0
#> V4     0  0  0
#> V40    0  0  0
#> V41    0  0  0
#> V42    0  0  0
#> V43    0  0  0
#> V44    0  0  0
#> V45    0  0  0
#> V46    0  0  0
#> V47    0  0  0
#> V48    0  0  0
#> V49    0  0  0
#> V5     0  0  0
#> V50    0  0  0
#> V51    0  0  0
#> V52    0  0  0
#> V53    0  0  0
#> V54    0  0  0
#> V55    0  0  0
#> V56    0  0  0
#> V57    0  0  0
#> V58    0  0  0
#> V59    0  0  0
#> V6     0  0  0
#> V60    0  0  0
#> V7     1  0  0
#> V8     0  1  0
#> V9     0  0  1
#> attr(,"term.labels")
#>  [1] "V1"  "V10" "V11" "V12" "V13" "V14" "V15" "V16" "V17" "V18" "V19" "V2" 
#> [13] "V20" "V21" "V22" "V23" "V24" "V25" "V26" "V27" "V28" "V29" "V3"  "V30"
#> [25] "V31" "V32" "V33" "V34" "V35" "V36" "V37" "V38" "V39" "V4"  "V40" "V41"
#> [37] "V42" "V43" "V44" "V45" "V46" "V47" "V48" "V49" "V5"  "V50" "V51" "V52"
#> [49] "V53" "V54" "V55" "V56" "V57" "V58" "V59" "V6"  "V60" "V7"  "V8"  "V9" 
#> attr(,"order")
#>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> attr(,"intercept")
#> [1] 1
#> attr(,"response")
#> [1] 1
#> attr(,"Formula_with_dot")
#> Class ~ .
#> NULL
#> attr(,"Formula_without_dot")
#> Class ~ V1 + V10 + V11 + V12 + V13 + V14 + V15 + V16 + V17 + 
#>     V18 + V19 + V2 + V20 + V21 + V22 + V23 + V24 + V25 + V26 + 
#>     V27 + V28 + V29 + V3 + V30 + V31 + V32 + V33 + V34 + V35 + 
#>     V36 + V37 + V38 + V39 + V4 + V40 + V41 + V42 + V43 + V44 + 
#>     V45 + V46 + V47 + V48 + V49 + V5 + V50 + V51 + V52 + V53 + 
#>     V54 + V55 + V56 + V57 + V58 + V59 + V6 + V60 + V7 + V8 + 
#>     V9
#> NULL
#> attr(,"dot")
#> [1] "sequential"
#> 
#> $info
#> $info$call
#> partykit::cforest(formula = task$formula(), data = task$data(), 
#>     weights = self$.__enclos_env__$private$.get_weights(task), 
#>     control = control, ntree = 50L, perturb = perturb)
#> 
#> $info$control
#> $info$control$criterion
#> [1] "p.value"
#> 
#> $info$control$logmincriterion
#> [1] -Inf
#> 
#> $info$control$minsplit
#> [1] 20
#> 
#> $info$control$minbucket
#> [1] 7
#> 
#> $info$control$minprob
#> [1] 0.01
#> 
#> $info$control$maxvar
#> [1] Inf
#> 
#> $info$control$stump
#> [1] FALSE
#> 
#> $info$control$nmax
#>  yx   z 
#> Inf Inf 
#> 
#> $info$control$lookahead
#> [1] FALSE
#> 
#> $info$control$mtry
#> [1] 8
#> 
#> $info$control$maxdepth
#> [1] Inf
#> 
#> $info$control$multiway
#> [1] FALSE
#> 
#> $info$control$splittry
#> [1] 2
#> 
#> $info$control$maxsurrogate
#> [1] 0
#> 
#> $info$control$numsurrogate
#> [1] FALSE
#> 
#> $info$control$majority
#> [1] FALSE
#> 
#> $info$control$caseweights
#> [1] TRUE
#> 
#> $info$control$applyfun
#> function (X, FUN, ...) 
#> {
#>     FUN <- match.fun(FUN)
#>     if (!is.vector(X) || is.object(X)) 
#>         X <- as.list(X)
#>     .Internal(lapply(X, FUN))
#> }
#> <bytecode: 0x56254a85b8d0>
#> <environment: namespace:base>
#> 
#> $info$control$saveinfo
#> [1] FALSE
#> 
#> $info$control$bonferroni
#> [1] FALSE
#> 
#> $info$control$update
#> [1] FALSE
#> 
#> $info$control$selectfun
#> function (model, trafo, data, subset, weights, whichvar, ctrl) 
#> {
#>     args <- list(...)
#>     ctrl[names(args)] <- args
#>     .select(model, trafo, data, subset, weights, whichvar, ctrl, 
#>         FUN = .ctree_test)
#> }
#> <bytecode: 0x56255a42d680>
#> <environment: 0x56255a42a420>
#> 
#> $info$control$splitfun
#> function (model, trafo, data, subset, weights, whichvar, ctrl) 
#> {
#>     args <- list(...)
#>     ctrl[names(args)] <- args
#>     .split(model, trafo, data, subset, weights, whichvar, ctrl, 
#>         FUN = .ctree_test)
#> }
#> <bytecode: 0x56255a42b450>
#> <environment: 0x56255a426308>
#> 
#> $info$control$svselectfun
#> function (model, trafo, data, subset, weights, whichvar, ctrl) 
#> {
#>     args <- list(...)
#>     ctrl[names(args)] <- args
#>     .select(model, trafo, data, subset, weights, whichvar, ctrl, 
#>         FUN = .ctree_test)
#> }
#> <bytecode: 0x56255a42d680>
#> <environment: 0x56255a4263e8>
#> 
#> $info$control$svsplitfun
#> function (model, trafo, data, subset, weights, whichvar, ctrl) 
#> {
#>     args <- list(...)
#>     ctrl[names(args)] <- args
#>     .split(model, trafo, data, subset, weights, whichvar, ctrl, 
#>         FUN = .ctree_test)
#> }
#> <bytecode: 0x56255a42b450>
#> <environment: 0x56255a426538>
#> 
#> $info$control$teststat
#> [1] "quadratic"
#> 
#> $info$control$splitstat
#> [1] "quadratic"
#> 
#> $info$control$splittest
#> [1] FALSE
#> 
#> $info$control$pargs
#> $maxpts
#> [1] 25000
#> 
#> $abseps
#> [1] 0.001
#> 
#> $releps
#> [1] 0
#> 
#> attr(,"class")
#> [1] "GenzBretz"
#> 
#> $info$control$testtype
#> [1] "Univariate"
#> 
#> $info$control$nresample
#> [1] 9999
#> 
#> $info$control$tol
#> [1] 1.490116e-08
#> 
#> $info$control$intersplit
#> [1] FALSE
#> 
#> $info$control$MIA
#> [1] FALSE
#> 
#> 
#> 
#> $trafo
#> function (subset, weights, info, estfun, object, ...) 
#> list(estfun = Y, unweighted = TRUE)
#> <bytecode: 0x56255a549298>
#> <environment: 0x56255a5435a8>
#> 
#> $predictf
#> ~V1 + V10 + V11 + V12 + V13 + V14 + V15 + V16 + V17 + V18 + V19 + 
#>     V2 + V20 + V21 + V22 + V23 + V24 + V25 + V26 + V27 + V28 + 
#>     V29 + V3 + V30 + V31 + V32 + V33 + V34 + V35 + V36 + V37 + 
#>     V38 + V39 + V4 + V40 + V41 + V42 + V43 + V44 + V45 + V46 + 
#>     V47 + V48 + V49 + V5 + V50 + V51 + V52 + V53 + V54 + V55 + 
#>     V56 + V57 + V58 + V59 + V6 + V60 + V7 + V8 + V9
#> attr(,"variables")
#> list(V1, V10, V11, V12, V13, V14, V15, V16, V17, V18, V19, V2, 
#>     V20, V21, V22, V23, V24, V25, V26, V27, V28, V29, V3, V30, 
#>     V31, V32, V33, V34, V35, V36, V37, V38, V39, V4, V40, V41, 
#>     V42, V43, V44, V45, V46, V47, V48, V49, V5, V50, V51, V52, 
#>     V53, V54, V55, V56, V57, V58, V59, V6, V60, V7, V8, V9)
#> attr(,"factors")
#>     V1 V10 V11 V12 V13 V14 V15 V16 V17 V18 V19 V2 V20 V21 V22 V23 V24 V25 V26
#> V1   1   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V10  0   1   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V11  0   0   1   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V12  0   0   0   1   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V13  0   0   0   0   1   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V14  0   0   0   0   0   1   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V15  0   0   0   0   0   0   1   0   0   0   0  0   0   0   0   0   0   0   0
#> V16  0   0   0   0   0   0   0   1   0   0   0  0   0   0   0   0   0   0   0
#> V17  0   0   0   0   0   0   0   0   1   0   0  0   0   0   0   0   0   0   0
#> V18  0   0   0   0   0   0   0   0   0   1   0  0   0   0   0   0   0   0   0
#> V19  0   0   0   0   0   0   0   0   0   0   1  0   0   0   0   0   0   0   0
#> V2   0   0   0   0   0   0   0   0   0   0   0  1   0   0   0   0   0   0   0
#> V20  0   0   0   0   0   0   0   0   0   0   0  0   1   0   0   0   0   0   0
#> V21  0   0   0   0   0   0   0   0   0   0   0  0   0   1   0   0   0   0   0
#> V22  0   0   0   0   0   0   0   0   0   0   0  0   0   0   1   0   0   0   0
#> V23  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   1   0   0   0
#> V24  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   1   0   0
#> V25  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   1   0
#> V26  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   1
#> V27  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V28  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V29  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V3   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V30  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V31  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V32  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V33  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V34  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V35  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V36  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V37  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V38  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V39  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V4   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V40  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V41  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V42  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V43  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V44  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V45  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V46  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V47  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V48  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V49  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V5   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V50  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V51  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V52  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V53  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V54  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V55  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V56  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V57  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V58  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V59  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V6   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V60  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V7   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V8   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#> V9   0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0   0   0   0
#>     V27 V28 V29 V3 V30 V31 V32 V33 V34 V35 V36 V37 V38 V39 V4 V40 V41 V42 V43
#> V1    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V10   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V11   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V12   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V13   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V14   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V15   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V16   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V17   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V18   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V19   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V2    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V20   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V21   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V22   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V23   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V24   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V25   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V26   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V27   1   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V28   0   1   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V29   0   0   1  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V3    0   0   0  1   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V30   0   0   0  0   1   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V31   0   0   0  0   0   1   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V32   0   0   0  0   0   0   1   0   0   0   0   0   0   0  0   0   0   0   0
#> V33   0   0   0  0   0   0   0   1   0   0   0   0   0   0  0   0   0   0   0
#> V34   0   0   0  0   0   0   0   0   1   0   0   0   0   0  0   0   0   0   0
#> V35   0   0   0  0   0   0   0   0   0   1   0   0   0   0  0   0   0   0   0
#> V36   0   0   0  0   0   0   0   0   0   0   1   0   0   0  0   0   0   0   0
#> V37   0   0   0  0   0   0   0   0   0   0   0   1   0   0  0   0   0   0   0
#> V38   0   0   0  0   0   0   0   0   0   0   0   0   1   0  0   0   0   0   0
#> V39   0   0   0  0   0   0   0   0   0   0   0   0   0   1  0   0   0   0   0
#> V4    0   0   0  0   0   0   0   0   0   0   0   0   0   0  1   0   0   0   0
#> V40   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   1   0   0   0
#> V41   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   1   0   0
#> V42   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   1   0
#> V43   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   1
#> V44   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V45   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V46   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V47   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V48   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V49   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V5    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V50   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V51   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V52   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V53   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V54   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V55   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V56   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V57   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V58   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V59   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V6    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V60   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V7    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V8    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#> V9    0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0   0   0   0
#>     V44 V45 V46 V47 V48 V49 V5 V50 V51 V52 V53 V54 V55 V56 V57 V58 V59 V6 V60
#> V1    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V10   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V11   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V12   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V13   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V14   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V15   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V16   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V17   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V18   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V19   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V2    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V20   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V21   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V22   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V23   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V24   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V25   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V26   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V27   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V28   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V29   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V3    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V30   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V31   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V32   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V33   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V34   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V35   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V36   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V37   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V38   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V39   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V4    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V40   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V41   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V42   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V43   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V44   1   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V45   0   1   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V46   0   0   1   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V47   0   0   0   1   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V48   0   0   0   0   1   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V49   0   0   0   0   0   1  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V5    0   0   0   0   0   0  1   0   0   0   0   0   0   0   0   0   0  0   0
#> V50   0   0   0   0   0   0  0   1   0   0   0   0   0   0   0   0   0  0   0
#> V51   0   0   0   0   0   0  0   0   1   0   0   0   0   0   0   0   0  0   0
#> V52   0   0   0   0   0   0  0   0   0   1   0   0   0   0   0   0   0  0   0
#> V53   0   0   0   0   0   0  0   0   0   0   1   0   0   0   0   0   0  0   0
#> V54   0   0   0   0   0   0  0   0   0   0   0   1   0   0   0   0   0  0   0
#> V55   0   0   0   0   0   0  0   0   0   0   0   0   1   0   0   0   0  0   0
#> V56   0   0   0   0   0   0  0   0   0   0   0   0   0   1   0   0   0  0   0
#> V57   0   0   0   0   0   0  0   0   0   0   0   0   0   0   1   0   0  0   0
#> V58   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   1   0  0   0
#> V59   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   1  0   0
#> V6    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  1   0
#> V60   0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   1
#> V7    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V8    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#> V9    0   0   0   0   0   0  0   0   0   0   0   0   0   0   0   0   0  0   0
#>     V7 V8 V9
#> V1   0  0  0
#> V10  0  0  0
#> V11  0  0  0
#> V12  0  0  0
#> V13  0  0  0
#> V14  0  0  0
#> V15  0  0  0
#> V16  0  0  0
#> V17  0  0  0
#> V18  0  0  0
#> V19  0  0  0
#> V2   0  0  0
#> V20  0  0  0
#> V21  0  0  0
#> V22  0  0  0
#> V23  0  0  0
#> V24  0  0  0
#> V25  0  0  0
#> V26  0  0  0
#> V27  0  0  0
#> V28  0  0  0
#> V29  0  0  0
#> V3   0  0  0
#> V30  0  0  0
#> V31  0  0  0
#> V32  0  0  0
#> V33  0  0  0
#> V34  0  0  0
#> V35  0  0  0
#> V36  0  0  0
#> V37  0  0  0
#> V38  0  0  0
#> V39  0  0  0
#> V4   0  0  0
#> V40  0  0  0
#> V41  0  0  0
#> V42  0  0  0
#> V43  0  0  0
#> V44  0  0  0
#> V45  0  0  0
#> V46  0  0  0
#> V47  0  0  0
#> V48  0  0  0
#> V49  0  0  0
#> V5   0  0  0
#> V50  0  0  0
#> V51  0  0  0
#> V52  0  0  0
#> V53  0  0  0
#> V54  0  0  0
#> V55  0  0  0
#> V56  0  0  0
#> V57  0  0  0
#> V58  0  0  0
#> V59  0  0  0
#> V6   0  0  0
#> V60  0  0  0
#> V7   1  0  0
#> V8   0  1  0
#> V9   0  0  1
#> attr(,"term.labels")
#>  [1] "V1"  "V10" "V11" "V12" "V13" "V14" "V15" "V16" "V17" "V18" "V19" "V2" 
#> [13] "V20" "V21" "V22" "V23" "V24" "V25" "V26" "V27" "V28" "V29" "V3"  "V30"
#> [25] "V31" "V32" "V33" "V34" "V35" "V36" "V37" "V38" "V39" "V4"  "V40" "V41"
#> [37] "V42" "V43" "V44" "V45" "V46" "V47" "V48" "V49" "V5"  "V50" "V51" "V52"
#> [49] "V53" "V54" "V55" "V56" "V57" "V58" "V59" "V6"  "V60" "V7"  "V8"  "V9" 
#> attr(,"order")
#>  [1] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> [39] 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
#> attr(,"intercept")
#> [1] 1
#> attr(,"response")
#> [1] 0
#> attr(,"Formula_with_dot")
#> Class ~ .
#> NULL
#> attr(,"Formula_without_dot")
#> Class ~ V1 + V10 + V11 + V12 + V13 + V14 + V15 + V16 + V17 + 
#>     V18 + V19 + V2 + V20 + V21 + V22 + V23 + V24 + V25 + V26 + 
#>     V27 + V28 + V29 + V3 + V30 + V31 + V32 + V33 + V34 + V35 + 
#>     V36 + V37 + V38 + V39 + V4 + V40 + V41 + V42 + V43 + V44 + 
#>     V45 + V46 + V47 + V48 + V49 + V5 + V50 + V51 + V52 + V53 + 
#>     V54 + V55 + V56 + V57 + V58 + V59 + V6 + V60 + V7 + V8 + 
#>     V9
#> NULL
#> attr(,"dot")
#> [1] "sequential"
#> 
#> attr(,"class")
#> [1] "cforest"      "constparties" "parties"     

# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)

# Score the predictions
predictions$score()
#> classif.ce 
#>  0.2173913