Classification Conditional Random Forest Learner
Source:R/learner_partykit_classif_cforest.R
mlr_learners_classif.cforest.RdA random forest based on conditional inference trees (partykit::ctree()).
Calls partykit::cforest() from partykit.
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
mtryratioasmtry = max(ceiling(mtryratio * n_features), 1). Note thatmtryandmtryratioare 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
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.
Super classes
mlr3::Learner -> mlr3::LearnerClassif -> LearnerClassifCForest
Methods
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()
Method oob_error()
The importance scores are calculated using partykit::varimp().
The out-of-bag error, calculated using the OOB predictions from
partykit.
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] V4 <= 0.1786
#> | | [3] V42 <= 0.1288 *
#> | | [4] V42 > 0.1288 *
#> | [5] V4 > 0.1786
#> | | [6] V9 <= 0.661
#> | | | [7] V44 <= 0.0408 *
#> | | | [8] V44 > 0.0408
#> | | | | [9] V31 <= 0.6879 *
#> | | | | [10] V31 > 0.6879 *
#> | | [11] V9 > 0.661 *
#>
#> $nodes[[2]]
#> [1] root
#> | [2] V43 <= 0.0623
#> | | [3] V5 <= 0.1862 *
#> | | [4] V5 > 0.1862 *
#> | [5] V43 > 0.0623
#> | | [6] V42 <= 0.1917
#> | | | [7] V4 <= 0.2139 *
#> | | | [8] V4 > 0.2139
#> | | | | [9] V25 <= 0.4456 *
#> | | | | [10] V25 > 0.4456 *
#> | | [11] V42 > 0.1917 *
#>
#> $nodes[[3]]
#> [1] root
#> | [2] V43 <= 0.0604
#> | | [3] V13 <= 0.0213 *
#> | | [4] V13 > 0.0213 *
#> | [5] V43 > 0.0604
#> | | [6] V5 <= 0.225
#> | | | [7] V55 <= 0.0037 *
#> | | | [8] V55 > 0.0037 *
#> | | [9] V5 > 0.225
#> | | | [10] V21 <= 0.7652
#> | | | | [11] V59 <= 0.1398 *
#> | | | | [12] V59 > 0.1398 *
#> | | | [13] V21 > 0.7652 *
#>
#> $nodes[[4]]
#> [1] root
#> | [2] V31 <= 0.3762
#> | | [3] V4 <= 0.1742 *
#> | | [4] V4 > 0.1742
#> | | | [5] V30 <= 0.2223
#> | | | | [6] V10 <= 0.4835 *
#> | | | | [7] V10 > 0.4835 *
#> | | | [8] V30 > 0.2223 *
#> | [9] V31 > 0.3762
#> | | [10] V50 <= 0.0163
#> | | | [11] V41 <= 0.2391
#> | | | | [12] V44 <= 0.0301 *
#> | | | | [13] V44 > 0.0301 *
#> | | | [14] V41 > 0.2391 *
#> | | [15] V50 > 0.0163 *
#>
#> $nodes[[5]]
#> [1] root
#> | [2] V61 <= 0.116
#> | | [3] V2 <= 0.0216 *
#> | | [4] V2 > 0.0216 *
#> | [5] V61 > 0.116
#> | | [6] V32 <= 0.506
#> | | | [7] V11 <= 0.813
#> | | | | [8] V19 <= 0.4562 *
#> | | | | [9] V19 > 0.4562
#> | | | | | [10] V5 <= 0.2568 *
#> | | | | | [11] V5 > 0.2568 *
#> | | | [12] V11 > 0.813 *
#> | | [13] V32 > 0.506 *
#>
#> $nodes[[6]]
#> [1] root
#> | [2] V4 <= 0.1609
#> | | [3] V43 <= 0.1051 *
#> | | [4] V43 > 0.1051 *
#> | [5] V4 > 0.1609
#> | | [6] V48 <= 0.0135 *
#> | | [7] V48 > 0.0135
#> | | | [8] V45 <= 0.0507 *
#> | | | [9] V45 > 0.0507
#> | | | | [10] V10 <= 0.4386 *
#> | | | | [11] V10 > 0.4386 *
#>
#> $nodes[[7]]
#> [1] root
#> | [2] V29 <= 0.4048
#> | | [3] V31 <= 0.2138
#> | | | [4] V40 <= 0.1384 *
#> | | | [5] V40 > 0.1384 *
#> | | [6] V31 > 0.2138 *
#> | [7] V29 > 0.4048
#> | | [8] V8 <= 0.3237
#> | | | [9] V6 <= 0.225 *
#> | | | [10] V6 > 0.225 *
#> | | [11] V8 > 0.3237 *
#>
#> $nodes[[8]]
#> [1] root
#> | [2] V31 <= 0.5188
#> | | [3] V39 <= 0.1808
#> | | | [4] V3 <= 0.2053 *
#> | | | [5] V3 > 0.2053 *
#> | | [6] V39 > 0.1808
#> | | | [7] V15 <= 0.5328 *
#> | | | [8] V15 > 0.5328 *
#> | [9] V31 > 0.5188
#> | | [10] V3 <= 0.2912 *
#> | | [11] V3 > 0.2912 *
#>
#> $nodes[[9]]
#> [1] root
#> | [2] V44 <= 0.0748
#> | | [3] V41 <= 0.1937
#> | | | [4] V2 <= 0.0239 *
#> | | | [5] V2 > 0.0239 *
#> | | [6] V41 > 0.1937 *
#> | [7] V44 > 0.0748
#> | | [8] V10 <= 0.5386
#> | | | [9] V3 <= 0.1504 *
#> | | | [10] V3 > 0.1504
#> | | | | [11] V47 <= 0.0313 *
#> | | | | [12] V47 > 0.0313 *
#> | | [13] V10 > 0.5386 *
#>
#> $nodes[[10]]
#> [1] root
#> | [2] V3 <= 0.1504
#> | | [3] V9 <= 0.2871 *
#> | | [4] V9 > 0.2871 *
#> | [5] V3 > 0.1504
#> | | [6] V8 <= 0.4169
#> | | | [7] V41 <= 0.1937 *
#> | | | [8] V41 > 0.1937
#> | | | | [9] V45 <= 0.0558 *
#> | | | | [10] V45 > 0.0558 *
#> | | [11] V8 > 0.4169
#> | | | [12] V43 <= 0.1112 *
#> | | | [13] V43 > 0.1112 *
#>
#> $nodes[[11]]
#> [1] root
#> | [2] V3 <= 0.163
#> | | [3] V15 <= 0.6068 *
#> | | [4] V15 > 0.6068 *
#> | [5] V3 > 0.163
#> | | [6] V36 <= 0.6086
#> | | | [7] V9 <= 0.661
#> | | | | [8] V57 <= 0.1482
#> | | | | | [9] V49 <= 0.0056 *
#> | | | | | [10] V49 > 0.0056 *
#> | | | | [11] V57 > 0.1482 *
#> | | | [12] V9 > 0.661 *
#> | | [13] V36 > 0.6086 *
#>
#> $nodes[[12]]
#> [1] root
#> | [2] V61 <= 0.1252
#> | | [3] V24 <= 0.027 *
#> | | [4] V24 > 0.027 *
#> | [5] V61 > 0.1252
#> | | [6] V5 <= 0.225 *
#> | | [7] V5 > 0.225
#> | | | [8] V9 <= 0.5512
#> | | | | [9] V33 <= 0.4516 *
#> | | | | [10] V33 > 0.4516 *
#> | | | [11] V9 > 0.5512 *
#>
#> $nodes[[13]]
#> [1] root
#> | [2] V12 <= 0.445
#> | | [3] V2 <= 0.0265
#> | | | [4] V39 <= 0.1983 *
#> | | | [5] V39 > 0.1983 *
#> | | [6] V2 > 0.0265 *
#> | [7] V12 > 0.445
#> | | [8] V11 <= 0.7532
#> | | | [9] V28 <= 0.3692
#> | | | | [10] V34 <= 0.3803 *
#> | | | | [11] V34 > 0.3803 *
#> | | | [12] V28 > 0.3692 *
#> | | [13] V11 > 0.7532 *
#>
#> $nodes[[14]]
#> [1] root
#> | [2] V40 <= 0.0845 *
#> | [3] V40 > 0.0845
#> | | [4] V31 <= 0.5023
#> | | | [5] V42 <= 0.0688 *
#> | | | [6] V42 > 0.0688
#> | | | | [7] V57 <= 0.0679 *
#> | | | | [8] V57 > 0.0679 *
#> | | [9] V31 > 0.5023
#> | | | [10] V4 <= 0.1896 *
#> | | | [11] V4 > 0.1896 *
#>
#> $nodes[[15]]
#> [1] root
#> | [2] V44 <= 0.0748
#> | | [3] V13 <= 0.0319
#> | | | [4] V54 <= 0.0056 *
#> | | | [5] V54 > 0.0056 *
#> | | [6] V13 > 0.0319
#> | | | [7] V27 <= 0.4567 *
#> | | | [8] V27 > 0.4567 *
#> | [9] V44 > 0.0748
#> | | [10] V61 <= 0.1037 *
#> | | [11] V61 > 0.1037
#> | | | [12] V5 <= 0.2362 *
#> | | | [13] V5 > 0.2362
#> | | | | [14] V14 <= 0.7383 *
#> | | | | [15] V14 > 0.7383 *
#>
#> $nodes[[16]]
#> [1] root
#> | [2] V58 <= 0.008
#> | | [3] V5 <= 0.225
#> | | | [4] V14 <= 0.5717 *
#> | | | [5] V14 > 0.5717 *
#> | | [6] V5 > 0.225
#> | | | [7] V10 <= 0.4423 *
#> | | | [8] V10 > 0.4423 *
#> | [9] V58 > 0.008
#> | | [10] V27 <= 0.4567 *
#> | | [11] V27 > 0.4567 *
#>
#> $nodes[[17]]
#> [1] root
#> | [2] V61 <= 0.1151
#> | | [3] V35 <= 0.0359 *
#> | | [4] V35 > 0.0359 *
#> | [5] V61 > 0.1151
#> | | [6] V45 <= 0.0436
#> | | | [7] V40 <= 0.1524 *
#> | | | [8] V40 > 0.1524 *
#> | | [9] V45 > 0.0436
#> | | | [10] V8 <= 0.5095 *
#> | | | [11] V8 > 0.5095 *
#>
#> $nodes[[18]]
#> [1] root
#> | [2] V4 <= 0.1896
#> | | [3] V12 <= 0.7157
#> | | | [4] V58 <= 0.0053 *
#> | | | [5] V58 > 0.0053 *
#> | | [6] V12 > 0.7157 *
#> | [7] V4 > 0.1896
#> | | [8] V10 <= 0.687
#> | | | [9] V37 <= 0.4554 *
#> | | | [10] V37 > 0.4554 *
#> | | [11] V10 > 0.687 *
#>
#> $nodes[[19]]
#> [1] root
#> | [2] V46 <= 0.0391
#> | | [3] V24 <= 0.0347 *
#> | | [4] V24 > 0.0347 *
#> | [5] V46 > 0.0391
#> | | [6] V35 <= 0.0518
#> | | | [7] V4 <= 0.1896 *
#> | | | [8] V4 > 0.1896 *
#> | | [9] V35 > 0.0518
#> | | | [10] V5 <= 0.1785 *
#> | | | [11] V5 > 0.1785
#> | | | | [12] V30 <= 0.5666 *
#> | | | | [13] V30 > 0.5666 *
#>
#> $nodes[[20]]
#> [1] root
#> | [2] V5 <= 0.2115
#> | | [3] V22 <= 0.5429 *
#> | | [4] V22 > 0.5429
#> | | | [5] V41 <= 0.1512 *
#> | | | [6] V41 > 0.1512 *
#> | [7] V5 > 0.2115
#> | | [8] V32 <= 0.3704
#> | | | [9] V8 <= 0.4393 *
#> | | | [10] V8 > 0.4393 *
#> | | [11] V32 > 0.3704 *
#>
#> $nodes[[21]]
#> [1] root
#> | [2] V2 <= 0.0216
#> | | [3] V5 <= 0.2115
#> | | | [4] V3 <= 0.1504 *
#> | | | [5] V3 > 0.1504 *
#> | | [6] V5 > 0.2115 *
#> | [7] V2 > 0.0216
#> | | [8] V10 <= 0.687
#> | | | [9] V29 <= 0.6627
#> | | | | [10] V25 <= 0.4411 *
#> | | | | [11] V25 > 0.4411 *
#> | | | [12] V29 > 0.6627 *
#> | | [13] V10 > 0.687 *
#>
#> $nodes[[22]]
#> [1] root
#> | [2] V15 <= 0.6797
#> | | [3] V3 <= 0.2111
#> | | | [4] V4 <= 0.168 *
#> | | | [5] V4 > 0.168 *
#> | | [6] V3 > 0.2111 *
#> | [7] V15 > 0.6797
#> | | [8] V41 <= 0.1374 *
#> | | [9] V41 > 0.1374
#> | | | [10] V44 <= 0.0606 *
#> | | | [11] V44 > 0.0606 *
#>
#> $nodes[[23]]
#> [1] root
#> | [2] V29 <= 0.4476
#> | | [3] V5 <= 0.1992 *
#> | | [4] V5 > 0.1992
#> | | | [5] V7 <= 0.5157
#> | | | | [6] V31 <= 0.0791 *
#> | | | | [7] V31 > 0.0791
#> | | | | | [8] V33 <= 0.1626 *
#> | | | | | [9] V33 > 0.1626 *
#> | | | [10] V7 > 0.5157 *
#> | [11] V29 > 0.4476
#> | | [12] V4 <= 0.2476
#> | | | [13] V40 <= 0.2838 *
#> | | | [14] V40 > 0.2838 *
#> | | [15] V4 > 0.2476 *
#>
#> $nodes[[24]]
#> [1] root
#> | [2] V28 <= 0.2709
#> | | [3] V5 <= 0.2226 *
#> | | [4] V5 > 0.2226 *
#> | [5] V28 > 0.2709
#> | | [6] V7 <= 0.1244 *
#> | | [7] V7 > 0.1244
#> | | | [8] V56 <= 0.0114
#> | | | | [9] V48 <= 0.0128 *
#> | | | | [10] V48 > 0.0128
#> | | | | | [11] V45 <= 0.0336 *
#> | | | | | [12] V45 > 0.0336 *
#> | | | [13] V56 > 0.0114 *
#>
#> $nodes[[25]]
#> [1] root
#> | [2] V61 <= 0.1151
#> | | [3] V11 <= 0.416 *
#> | | [4] V11 > 0.416 *
#> | [5] V61 > 0.1151
#> | | [6] V48 <= 0.0128
#> | | | [7] V58 <= 0.0043 *
#> | | | [8] V58 > 0.0043 *
#> | | [9] V48 > 0.0128
#> | | | [10] V5 <= 0.1335 *
#> | | | [11] V5 > 0.1335
#> | | | | [12] V5 <= 0.2154 *
#> | | | | [13] V5 > 0.2154 *
#>
#> $nodes[[26]]
#> [1] root
#> | [2] V3 <= 0.1302
#> | | [3] V13 <= 0.0309 *
#> | | [4] V13 > 0.0309 *
#> | [5] V3 > 0.1302
#> | | [6] V31 <= 0.4775
#> | | | [7] V18 <= 0.5815 *
#> | | | [8] V18 > 0.5815
#> | | | | [9] V44 <= 0.0469 *
#> | | | | [10] V44 > 0.0469
#> | | | | | [11] V18 <= 0.7114 *
#> | | | | | [12] V18 > 0.7114 *
#> | | [13] V31 > 0.4775
#> | | | [14] V43 <= 0.1306 *
#> | | | [15] V43 > 0.1306 *
#>
#> $nodes[[27]]
#> [1] root
#> | [2] V15 <= 0.6797
#> | | [3] V31 <= 0.1446 *
#> | | [4] V31 > 0.1446
#> | | | [5] V3 <= 0.1908
#> | | | | [6] V27 <= 0.4082 *
#> | | | | [7] V27 > 0.4082 *
#> | | | [8] V3 > 0.1908 *
#> | [9] V15 > 0.6797
#> | | [10] V57 <= 0.1506
#> | | | [11] V39 <= 0.1867 *
#> | | | [12] V39 > 0.1867 *
#> | | [13] V57 > 0.1506 *
#>
#> $nodes[[28]]
#> [1] root
#> | [2] V5 <= 0.225
#> | | [3] V12 <= 0.7434
#> | | | [4] V3 <= 0.1908 *
#> | | | [5] V3 > 0.1908 *
#> | | [6] V12 > 0.7434 *
#> | [7] V5 > 0.225
#> | | [8] V49 <= 0.0062 *
#> | | [9] V49 > 0.0062
#> | | | [10] V57 <= 0.069 *
#> | | | [11] V57 > 0.069 *
#>
#> $nodes[[29]]
#> [1] root
#> | [2] V48 <= 0.0128
#> | | [3] V26 <= 0.3869 *
#> | | [4] V26 > 0.3869
#> | | | [5] V10 <= 0.2086 *
#> | | | [6] V10 > 0.2086 *
#> | [7] V48 > 0.0128
#> | | [8] V61 <= 0.1122 *
#> | | [9] V61 > 0.1122
#> | | | [10] V12 <= 0.2493 *
#> | | | [11] V12 > 0.2493
#> | | | | [12] V32 <= 0.4118 *
#> | | | | [13] V32 > 0.4118 *
#>
#> $nodes[[30]]
#> [1] root
#> | [2] V3 <= 0.1483
#> | | [3] V35 <= 0.046 *
#> | | [4] V35 > 0.046 *
#> | [5] V3 > 0.1483
#> | | [6] V9 <= 0.22 *
#> | | [7] V9 > 0.22
#> | | | [8] V15 <= 0.5297 *
#> | | | [9] V15 > 0.5297
#> | | | | [10] V56 <= 0.007 *
#> | | | | [11] V56 > 0.007 *
#>
#> $nodes[[31]]
#> [1] root
#> | [2] V6 <= 0.2249
#> | | [3] V23 <= 0.5765 *
#> | | [4] V23 > 0.5765 *
#> | [5] V6 > 0.2249
#> | | [6] V21 <= 0.7009
#> | | | [7] V56 <= 0.0055 *
#> | | | [8] V56 > 0.0055 *
#> | | [9] V21 > 0.7009
#> | | | [10] V61 <= 0.1594 *
#> | | | [11] V61 > 0.1594 *
#>
#> $nodes[[32]]
#> [1] root
#> | [2] V4 <= 0.1911
#> | | [3] V14 <= 0.7728
#> | | | [4] V42 <= 0.069 *
#> | | | [5] V42 > 0.069 *
#> | | [6] V14 > 0.7728 *
#> | [7] V4 > 0.1911
#> | | [8] V9 <= 0.661
#> | | | [9] V15 <= 0.446 *
#> | | | [10] V15 > 0.446
#> | | | | [11] V39 <= 0.1973 *
#> | | | | [12] V39 > 0.1973 *
#> | | [13] V9 > 0.661 *
#>
#> $nodes[[33]]
#> [1] root
#> | [2] V29 <= 0.404
#> | | [3] V32 <= 0.4649
#> | | | [4] V45 <= 0.0506
#> | | | | [5] V2 <= 0.0208 *
#> | | | | [6] V2 > 0.0208
#> | | | | | [7] V12 <= 0.6995 *
#> | | | | | [8] V12 > 0.6995 *
#> | | | [9] V45 > 0.0506 *
#> | | [10] V32 > 0.4649 *
#> | [11] V29 > 0.404
#> | | [12] V61 <= 0.383
#> | | | [13] V44 <= 0.0982 *
#> | | | [14] V44 > 0.0982 *
#> | | [15] V61 > 0.383 *
#>
#> $nodes[[34]]
#> [1] root
#> | [2] V48 <= 0.0108
#> | | [3] V5 <= 0.225 *
#> | | [4] V5 > 0.225 *
#> | [5] V48 > 0.0108
#> | | [6] V37 <= 0.3924
#> | | | [7] V43 <= 0.0479 *
#> | | | [8] V43 > 0.0479
#> | | | | [9] V3 <= 0.1345 *
#> | | | | [10] V3 > 0.1345
#> | | | | | [11] V54 <= 0.0056 *
#> | | | | | [12] V54 > 0.0056 *
#> | | [13] V37 > 0.3924 *
#>
#> $nodes[[35]]
#> [1] root
#> | [2] V49 <= 0.0052 *
#> | [3] V49 > 0.0052
#> | | [4] V4 <= 0.1896
#> | | | [5] V11 <= 0.416 *
#> | | | [6] V11 > 0.416 *
#> | | [7] V4 > 0.1896
#> | | | [8] V8 <= 0.595
#> | | | | [9] V29 <= 0.6553
#> | | | | | [10] V61 <= 0.2532 *
#> | | | | | [11] V61 > 0.2532 *
#> | | | | [12] V29 > 0.6553 *
#> | | | [13] V8 > 0.595 *
#>
#> $nodes[[36]]
#> [1] root
#> | [2] V49 <= 0.0093
#> | | [3] V25 <= 0.4124 *
#> | | [4] V25 > 0.4124
#> | | | [5] V23 <= 0.8184 *
#> | | | [6] V23 > 0.8184 *
#> | [7] V49 > 0.0093
#> | | [8] V15 <= 0.5605
#> | | | [9] V5 <= 0.225 *
#> | | | [10] V5 > 0.225 *
#> | | [11] V15 > 0.5605
#> | | | [12] V6 <= 0.2301 *
#> | | | [13] V6 > 0.2301
#> | | | | [14] V14 <= 0.8107 *
#> | | | | [15] V14 > 0.8107 *
#>
#> $nodes[[37]]
#> [1] root
#> | [2] V5 <= 0.2115
#> | | [3] V42 <= 0.1668
#> | | | [4] V12 <= 0.5824 *
#> | | | [5] V12 > 0.5824 *
#> | | [6] V42 > 0.1668 *
#> | [7] V5 > 0.2115
#> | | [8] V45 <= 0.0436
#> | | | [9] V33 <= 0.2446 *
#> | | | [10] V33 > 0.2446 *
#> | | [11] V45 > 0.0436
#> | | | [12] V18 <= 0.6444 *
#> | | | [13] V18 > 0.6444 *
#>
#> $nodes[[38]]
#> [1] root
#> | [2] V61 <= 0.116
#> | | [3] V46 <= 0.037 *
#> | | [4] V46 > 0.037 *
#> | [5] V61 > 0.116
#> | | [6] V3 <= 0.1908
#> | | | [7] V21 <= 0.6971 *
#> | | | [8] V21 > 0.6971 *
#> | | [9] V3 > 0.1908
#> | | | [10] V37 <= 0.3924
#> | | | | [11] V40 <= 0.114 *
#> | | | | [12] V40 > 0.114 *
#> | | | [13] V37 > 0.3924 *
#>
#> $nodes[[39]]
#> [1] root
#> | [2] V3 <= 0.1408
#> | | [3] V48 <= 0.0125 *
#> | | [4] V48 > 0.0125 *
#> | [5] V3 > 0.1408
#> | | [6] V29 <= 0.672
#> | | | [7] V15 <= 0.6797
#> | | | | [8] V22 <= 0.9092 *
#> | | | | [9] V22 > 0.9092 *
#> | | | [10] V15 > 0.6797
#> | | | | [11] V26 <= 0.4347 *
#> | | | | [12] V26 > 0.4347 *
#> | | [13] V29 > 0.672 *
#>
#> $nodes[[40]]
#> [1] root
#> | [2] V4 <= 0.1786
#> | | [3] V12 <= 0.6428
#> | | | [4] V3 <= 0.143 *
#> | | | [5] V3 > 0.143 *
#> | | [6] V12 > 0.6428 *
#> | [7] V4 > 0.1786
#> | | [8] V9 <= 0.7487
#> | | | [9] V57 <= 0.1515
#> | | | | [10] V31 <= 0.3172
#> | | | | | [11] V28 <= 0.4362 *
#> | | | | | [12] V28 > 0.4362 *
#> | | | | [13] V31 > 0.3172 *
#> | | | [14] V57 > 0.1515 *
#> | | [15] V9 > 0.7487 *
#>
#> $nodes[[41]]
#> [1] root
#> | [2] V4 <= 0.1911
#> | | [3] V2 <= 0.026
#> | | | [4] V3 <= 0.1328 *
#> | | | [5] V3 > 0.1328 *
#> | | [6] V2 > 0.026 *
#> | [7] V4 > 0.1911
#> | | [8] V16 <= 0.846
#> | | | [9] V10 <= 0.4423
#> | | | | [10] V30 <= 0.1848 *
#> | | | | [11] V30 > 0.1848 *
#> | | | [12] V10 > 0.4423 *
#> | | [13] V16 > 0.846 *
#>
#> $nodes[[42]]
#> [1] root
#> | [2] V48 <= 0.0135
#> | | [3] V3 <= 0.1328 *
#> | | [4] V3 > 0.1328
#> | | | [5] V22 <= 0.7673 *
#> | | | [6] V22 > 0.7673 *
#> | [7] V48 > 0.0135
#> | | [8] V36 <= 0.2412
#> | | | [9] V2 <= 0.0187 *
#> | | | [10] V2 > 0.0187 *
#> | | [11] V36 > 0.2412
#> | | | [12] V6 <= 0.2679 *
#> | | | [13] V6 > 0.2679 *
#>
#> $nodes[[43]]
#> [1] root
#> | [2] V2 <= 0.0195
#> | | [3] V4 <= 0.1911
#> | | | [4] V61 <= 0.0941 *
#> | | | [5] V61 > 0.0941 *
#> | | [6] V4 > 0.1911 *
#> | [7] V2 > 0.0195
#> | | [8] V32 <= 0.4773
#> | | | [9] V10 <= 0.9382
#> | | | | [10] V39 <= 0.1902 *
#> | | | | [11] V39 > 0.1902 *
#> | | | [12] V10 > 0.9382 *
#> | | [13] V32 > 0.4773 *
#>
#> $nodes[[44]]
#> [1] root
#> | [2] V16 <= 0.6146
#> | | [3] V3 <= 0.1838
#> | | | [4] V8 <= 0.2176 *
#> | | | [5] V8 > 0.2176 *
#> | | [6] V3 > 0.1838 *
#> | [7] V16 > 0.6146
#> | | [8] V4 <= 0.1786 *
#> | | [9] V4 > 0.1786
#> | | | [10] V32 <= 0.4649
#> | | | | [11] V60 <= 0.0989 *
#> | | | | [12] V60 > 0.0989 *
#> | | | [13] V32 > 0.4649 *
#>
#> $nodes[[45]]
#> [1] root
#> | [2] V61 <= 0.0993
#> | | [3] V9 <= 0.3283 *
#> | | [4] V9 > 0.3283 *
#> | [5] V61 > 0.0993
#> | | [6] V49 <= 0.0046 *
#> | | [7] V49 > 0.0046
#> | | | [8] V32 <= 0.4773
#> | | | | [9] V16 <= 0.4052 *
#> | | | | [10] V16 > 0.4052
#> | | | | | [11] V4 <= 0.2164 *
#> | | | | | [12] V4 > 0.2164 *
#> | | | [13] V32 > 0.4773 *
#>
#> $nodes[[46]]
#> [1] root
#> | [2] V45 <= 0.0563
#> | | [3] V4 <= 0.1911
#> | | | [4] V35 <= 0.044
#> | | | | [5] V3 <= 0.1328 *
#> | | | | [6] V3 > 0.1328 *
#> | | | [7] V35 > 0.044 *
#> | | [8] V4 > 0.1911
#> | | | [9] V57 <= 0.1515
#> | | | | [10] V15 <= 0.4497 *
#> | | | | [11] V15 > 0.4497 *
#> | | | [12] V57 > 0.1515 *
#> | [13] V45 > 0.0563
#> | | [14] V11 <= 0.3797 *
#> | | [15] V11 > 0.3797 *
#>
#> $nodes[[47]]
#> [1] root
#> | [2] V31 <= 0.3762
#> | | [3] V49 <= 0.0076 *
#> | | [4] V49 > 0.0076
#> | | | [5] V61 <= 0.1571 *
#> | | | [6] V61 > 0.1571 *
#> | [7] V31 > 0.3762
#> | | [8] V61 <= 0.2083
#> | | | [9] V11 <= 0.5364 *
#> | | | [10] V11 > 0.5364 *
#> | | [11] V61 > 0.2083 *
#>
#> $nodes[[48]]
#> [1] root
#> | [2] V14 <= 0.5717
#> | | [3] V43 <= 0.0623 *
#> | | [4] V43 > 0.0623
#> | | | [5] V33 <= 0.3641 *
#> | | | [6] V33 > 0.3641 *
#> | [7] V14 > 0.5717
#> | | [8] V39 <= 0.1015 *
#> | | [9] V39 > 0.1015
#> | | | [10] V9 <= 0.6632
#> | | | | [11] V57 <= 0.1493 *
#> | | | | [12] V57 > 0.1493 *
#> | | | [13] V9 > 0.6632 *
#>
#> $nodes[[49]]
#> [1] root
#> | [2] V44 <= 0.0742
#> | | [3] V11 <= 0.3818 *
#> | | [4] V11 > 0.3818
#> | | | [5] V50 <= 0.0129 *
#> | | | [6] V50 > 0.0129 *
#> | [7] V44 > 0.0742
#> | | [8] V10 <= 0.636
#> | | | [9] V18 <= 0.5559 *
#> | | | [10] V18 > 0.5559
#> | | | | [11] V59 <= 0.0857 *
#> | | | | [12] V59 > 0.0857 *
#> | | [13] V10 > 0.636 *
#>
#> $nodes[[50]]
#> [1] root
#> | [2] V45 <= 0.0436
#> | | [3] V26 <= 0.3485 *
#> | | [4] V26 > 0.3485
#> | | | [5] V21 <= 0.8807 *
#> | | | [6] V21 > 0.8807 *
#> | [7] V45 > 0.0436
#> | | [8] V33 <= 0.5932
#> | | | [9] V31 <= 0.3762
#> | | | | [10] V25 <= 0.7141 *
#> | | | | [11] V25 > 0.7141 *
#> | | | [12] V31 > 0.3762 *
#> | | [13] V33 > 0.5932 *
#>
#>
#> $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 0.0100 0.1264 0.0881 0.1992 0.0184 0.2261 0.1729 0.2131 0.0693 0.2281
#> 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 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> 7 R 0.0164 0.0251 0.0801 0.1056 0.1266 0.0890 0.0198 0.1133 0.2826 0.3234
#> 8 R 0.0039 0.0452 0.0492 0.0996 0.1424 0.1194 0.0628 0.0907 0.1177 0.1429
#> 9 R 0.0123 0.0835 0.0548 0.0847 0.2026 0.2557 0.1870 0.2032 0.1463 0.2849
#> 10 R 0.0090 0.1895 0.1896 0.2547 0.4073 0.2988 0.2901 0.5326 0.4022 0.1571
#> 11 R 0.0298 0.0852 0.2476 0.3645 0.2777 0.2826 0.3237 0.4335 0.5638 0.4555
#> 12 R 0.0352 0.2912 0.2328 0.2237 0.2470 0.1560 0.3491 0.3308 0.2299 0.2203
#> 13 R 0.0192 0.1186 0.1237 0.1601 0.3520 0.4479 0.3769 0.5761 0.6426 0.6790
#> 14 R 0.0126 0.5920 0.5832 0.5419 0.5472 0.5314 0.4981 0.6985 0.8292 0.7839
#> 15 R 0.0473 0.3759 0.3021 0.2909 0.2301 0.1411 0.1582 0.2430 0.4474 0.5964
#> 16 R 0.0664 0.1838 0.2869 0.4129 0.3647 0.1984 0.2840 0.4039 0.5837 0.6792
#> 17 R 0.0099 0.1882 0.1456 0.1892 0.3176 0.1340 0.2169 0.2458 0.2589 0.2786
#> 18 R 0.0115 0.0734 0.0740 0.0622 0.1055 0.1183 0.1721 0.2584 0.3232 0.3817
#> 19 R 0.0151 0.1205 0.0847 0.1518 0.2305 0.2793 0.3404 0.4527 0.6950 0.8807
#> 20 R 0.0177 0.0613 0.1680 0.3476 0.4561 0.5188 0.6308 0.7201 0.5153 0.3818
#> 21 R 0.0195 0.0242 0.0728 0.0639 0.3002 0.3854 0.4767 0.4602 0.3175 0.4160
#> 22 R 0.0311 0.0767 0.1767 0.2555 0.2812 0.2722 0.3227 0.3463 0.5395 0.7911
#> 23 R 0.0206 0.1573 0.2327 0.1785 0.1507 0.1916 0.2061 0.2307 0.2360 0.1299
#> 24 R 0.0094 0.1328 0.1303 0.0273 0.0644 0.0712 0.1204 0.0717 0.1224 0.2349
#> 25 R 0.0333 0.0920 0.1475 0.0522 0.1119 0.0970 0.1174 0.1678 0.1642 0.1205
#> 26 R 0.0123 0.0475 0.1152 0.0520 0.1192 0.1943 0.1840 0.2077 0.1956 0.1630
#> 27 R 0.0068 0.2475 0.1606 0.0922 0.2398 0.3220 0.4295 0.2652 0.0666 0.1442
#> 28 R 0.0093 0.0640 0.0888 0.1599 0.1541 0.2768 0.2176 0.2799 0.3491 0.2824
#> 29 R 0.0211 0.0568 0.0869 0.1935 0.1478 0.1871 0.1994 0.3283 0.6861 0.5814
#> 30 R 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> 31 R 0.0408 0.2176 0.2459 0.3332 0.3087 0.2613 0.3232 0.3731 0.4203 0.5364
#> 32 R 0.0308 0.2795 0.3336 0.2940 0.1608 0.3335 0.4985 0.7295 0.7350 0.8253
#> 33 R 0.0373 0.0802 0.1564 0.2565 0.2624 0.1179 0.0597 0.1563 0.2241 0.3586
#> 34 R 0.0190 0.0349 0.1459 0.3473 0.3197 0.2823 0.0166 0.0572 0.2164 0.4563
#> 35 R 0.0353 0.0880 0.1078 0.0979 0.2250 0.2819 0.2099 0.1240 0.1699 0.0939
#> 36 R 0.0087 0.0818 0.1315 0.1862 0.2789 0.2579 0.2240 0.2568 0.2933 0.2991
#> 37 R 0.0201 0.1199 0.1742 0.1387 0.2042 0.2580 0.2616 0.2097 0.2532 0.3213
#> 38 R 0.0152 0.1504 0.1911 0.2115 0.2249 0.2573 0.1701 0.2023 0.2538 0.3417
#> 39 R 0.0216 0.0866 0.1564 0.0780 0.0997 0.0915 0.0662 0.1134 0.1740 0.2573
#> 40 R 0.0125 0.1302 0.0888 0.0500 0.0628 0.1274 0.0801 0.0742 0.2048 0.2950
#> 41 R 0.0130 0.1483 0.1532 0.1100 0.0890 0.1236 0.1197 0.1145 0.2137 0.2838
#> 42 R 0.0135 0.1908 0.1576 0.1112 0.1197 0.1174 0.1415 0.2215 0.2658 0.2713
#> 43 R 0.0067 0.1180 0.0978 0.0909 0.0656 0.0593 0.0832 0.1297 0.2038 0.3811
#> 44 R 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> 45 R 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> 46 R 0.0195 0.1191 0.1522 0.1322 0.1434 0.1244 0.0653 0.0890 0.1226 0.1846
#> 47 R 0.0216 0.0973 0.1203 0.1102 0.1192 0.1762 0.2390 0.2138 0.1929 0.1765
#> 48 R 0.0036 0.0888 0.0937 0.1245 0.1599 0.1542 0.1846 0.1732 0.1477 0.1748
#> 49 R 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> 50 R 0.0109 0.1036 0.0972 0.0501 0.1546 0.3404 0.4804 0.6570 0.7738 0.7827
#> 51 R 0.0239 0.1376 0.0938 0.0259 0.1499 0.2851 0.5743 0.8278 0.8669 0.8131
#> 52 R 0.0336 0.0842 0.0357 0.0689 0.1705 0.3257 0.4602 0.6225 0.7327 0.7843
#> 53 R 0.0108 0.0393 0.1106 0.1412 0.2202 0.2976 0.4116 0.4754 0.5390 0.6279
#> 54 R 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> 55 R 0.0217 0.1777 0.4079 0.4113 0.3973 0.5078 0.6509 0.8073 0.9819 1.0000
#> 56 R 0.0378 0.2053 0.3135 0.3118 0.3686 0.3885 0.5850 0.7868 0.9739 1.0000
#> 57 R 0.0365 0.3735 0.3042 0.0387 0.2679 0.5397 0.6204 0.7257 0.8350 0.6888
#> 58 R 0.0188 0.1806 0.2139 0.1523 0.1975 0.4844 0.7298 0.7807 0.7906 0.6122
#> 59 R 0.0856 0.2751 0.2707 0.0946 0.1020 0.4519 0.6737 0.6699 0.7066 0.5632
#> 60 R 0.0274 0.1808 0.2366 0.0906 0.1749 0.4012 0.5187 0.7312 0.9062 0.9260
#> 61 R 0.0126 0.4284 0.3015 0.1207 0.3299 0.5707 0.6962 0.9751 1.0000 0.9293
#> 62 R 0.0260 0.1630 0.1030 0.2187 0.1542 0.2630 0.2940 0.2978 0.0699 0.1401
#> 63 R 0.0459 0.1408 0.2693 0.3259 0.4545 0.5785 0.4471 0.2231 0.2164 0.3201
#> 64 R 0.0025 0.1430 0.0994 0.2250 0.2444 0.3239 0.3039 0.2410 0.0367 0.1672
#> 65 R 0.0181 0.1045 0.0904 0.0671 0.0997 0.1056 0.0346 0.1231 0.1626 0.3652
#> 66 M 0.0491 0.2028 0.0947 0.2497 0.2209 0.3195 0.3340 0.3323 0.2780 0.2975
#> 67 M 0.1313 0.2231 0.2907 0.2259 0.3136 0.3302 0.3660 0.3956 0.4386 0.4670
#> 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 0.0162 0.1334 0.2969 0.4754 0.5677 0.5690 0.6421 0.7487 0.8999 1.0000
#> 72 M 0.0307 0.2792 0.3877 0.4992 0.4981 0.4972 0.5607 0.7339 0.8230 0.9173
#> 73 M 0.0331 0.0193 0.0897 0.1734 0.1936 0.2803 0.3313 0.5020 0.6360 0.7096
#> 74 M 0.0264 0.0945 0.1132 0.0840 0.0717 0.1968 0.2633 0.4191 0.5050 0.6711
#> 75 M 0.0530 0.0740 0.1610 0.2226 0.2703 0.3365 0.4266 0.4144 0.5655 0.6921
#> 76 M 0.0454 0.1675 0.2799 0.3323 0.4012 0.4296 0.5350 0.5411 0.6870 0.8045
#> 77 M 0.0283 0.1767 0.1995 0.2869 0.3275 0.3769 0.4169 0.5036 0.6180 0.8025
#> 78 M 0.0414 0.1975 0.2309 0.3025 0.3938 0.5050 0.5872 0.6610 0.7417 0.8006
#> 79 M 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> 80 M 0.0228 0.2227 0.2621 0.3109 0.2859 0.3316 0.3755 0.4499 0.4765 0.6254
#> 81 M 0.0363 0.1444 0.1989 0.2154 0.2863 0.3570 0.3980 0.4359 0.5334 0.6304
#> 82 M 0.0261 0.2013 0.2890 0.3650 0.3510 0.3495 0.4325 0.5398 0.6237 0.6876
#> 83 M 0.0346 0.1508 0.1809 0.2390 0.2947 0.2866 0.4010 0.5325 0.5486 0.5823
#> 84 M 0.0162 0.1779 0.2164 0.2568 0.3089 0.3829 0.4393 0.5335 0.5996 0.6728
#> 85 M 0.0270 0.2122 0.2210 0.2399 0.2964 0.4061 0.5095 0.5512 0.6613 0.6804
#> 86 M 0.0388 0.2718 0.3645 0.3934 0.3843 0.4677 0.5364 0.4823 0.4835 0.5862
#> 87 M 0.0715 0.4186 0.4867 0.5249 0.5959 0.6855 0.8573 0.9718 0.8693 0.8711
#> 88 M 0.0374 0.2597 0.3483 0.3999 0.4574 0.5950 0.7924 0.8272 0.8087 0.8977
#> 89 M 0.1371 0.2067 0.4257 0.5484 0.7131 0.7003 0.6777 0.7939 0.9382 0.8925
#> 90 M 0.0443 0.3083 0.3794 0.5364 0.6173 0.7842 0.8392 0.9016 1.0000 0.8911
#> 91 M 0.1150 0.5378 0.3816 0.0991 0.0616 0.1795 0.3907 0.3602 0.3041 0.2428
#> 92 M 0.0968 0.5025 0.3488 0.1700 0.2076 0.3087 0.4224 0.5312 0.2436 0.1884
#> 93 M 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> 94 M 0.1083 0.5966 0.5304 0.2251 0.2402 0.2689 0.6646 0.6632 0.1674 0.0837
#> 95 M 0.0094 0.5079 0.3350 0.0834 0.3004 0.3957 0.3769 0.3828 0.1247 0.1363
#> 96 M 0.1088 0.5761 0.4733 0.2362 0.1023 0.2904 0.4713 0.4659 0.1415 0.0849
#> 97 M 0.0430 0.7106 0.7342 0.5033 0.3000 0.1951 0.2767 0.3737 0.2507 0.2507
#> 98 M 0.0412 0.2058 0.1546 0.2671 0.3141 0.2904 0.3531 0.5079 0.4639 0.1859
#> 99 M 0.0707 0.1247 0.2340 0.1764 0.2284 0.3115 0.4725 0.5543 0.5386 0.3746
#> 100 M 0.0526 0.1632 0.2544 0.2807 0.3011 0.3361 0.3024 0.2285 0.2910 0.1316
#> 101 M 0.0654 0.3422 0.2128 0.1377 0.4032 0.5684 0.2398 0.4331 0.5954 0.5772
#> 102 M 0.0712 0.2127 0.2891 0.3985 0.4576 0.5821 0.5027 0.1930 0.2579 0.3177
#> 103 M 0.0231 0.2461 0.2245 0.1520 0.1732 0.3099 0.4380 0.5595 0.6820 0.6164
#> 104 M 0.0117 0.2169 0.1180 0.0754 0.2782 0.3758 0.5093 0.6592 0.7071 0.7532
#> 105 M 0.0211 0.1345 0.0785 0.0367 0.1227 0.2614 0.4280 0.6122 0.7435 0.8130
#> 106 M 0.0047 0.3469 0.3265 0.3263 0.2301 0.1253 0.2102 0.2401 0.1928 0.1673
#> 107 M 0.0201 0.2720 0.2188 0.3037 0.2959 0.2059 0.0906 0.1610 0.1800 0.2180
#> 108 M 0.0217 0.2110 0.2343 0.2087 0.1645 0.1689 0.1650 0.1967 0.2934 0.3709
#> 109 M 0.0221 0.1810 0.2549 0.2984 0.2624 0.1893 0.0668 0.2666 0.4274 0.6291
#> 110 M 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> 111 M 0.0015 0.1476 0.2118 0.2575 0.2354 0.1334 0.0092 0.1951 0.3685 0.4646
#> 112 M 0.0130 0.1375 0.2026 0.2389 0.2112 0.1444 0.0742 0.1533 0.3052 0.4116
#> 113 M 0.0179 0.5965 0.6254 0.4507 0.3693 0.2864 0.1635 0.0422 0.1785 0.4394
#> 114 M 0.0329 0.2672 0.3056 0.3161 0.2314 0.2067 0.1804 0.2808 0.4423 0.5947
#> 115 M 0.0294 0.3473 0.4231 0.5044 0.5237 0.4398 0.3236 0.2956 0.3286 0.3231
#> 116 M 0.0635 0.3900 0.4674 0.5632 0.5506 0.4343 0.3052 0.3492 0.3975 0.3875
#> 117 M 0.0201 0.2571 0.2931 0.3108 0.3603 0.3002 0.2718 0.2007 0.1801 0.2234
#> 118 M 0.0197 0.1695 0.1734 0.2470 0.3141 0.3297 0.2759 0.2056 0.1162 0.1884
#> 119 M 0.0394 0.2558 0.3078 0.3404 0.3400 0.3951 0.3352 0.2252 0.2086 0.2248
#> 120 M 0.0423 0.2696 0.3412 0.4292 0.3682 0.3940 0.2965 0.3172 0.2825 0.3050
#> 121 M 0.0096 0.2952 0.4025 0.5148 0.4901 0.4127 0.3575 0.3447 0.3068 0.2945
#> 122 M 0.0269 0.5915 0.6675 0.5679 0.5175 0.3334 0.2002 0.2856 0.2937 0.3424
#> 123 M 0.0368 0.2544 0.2936 0.2935 0.2657 0.3187 0.2794 0.2534 0.1980 0.1929
#> 124 M 0.0089 0.2119 0.3003 0.3094 0.2743 0.2547 0.1870 0.1452 0.1457 0.2429
#> 125 M 0.0156 0.1567 0.2476 0.2783 0.2896 0.2956 0.3189 0.1892 0.1730 0.2226
#> 126 M 0.0056 0.1859 0.2481 0.2712 0.2934 0.2637 0.1880 0.1405 0.2028 0.2613
#> 127 M 0.0203 0.1747 0.2198 0.2721 0.2105 0.1727 0.2040 0.1786 0.1318 0.2260
#> 128 M 0.0129 0.2245 0.2431 0.3134 0.3206 0.2917 0.2249 0.2347 0.2143 0.2939
#> 129 M 0.0050 0.2282 0.2521 0.3484 0.3309 0.2614 0.1782 0.2055 0.2298 0.3545
#> 130 M 0.0366 0.1847 0.2222 0.2648 0.2508 0.2291 0.1555 0.1863 0.2387 0.3345
#> 131 M 0.0238 0.2048 0.2652 0.3100 0.2381 0.1918 0.1430 0.1735 0.1781 0.2852
#> 132 M 0.0131 0.3193 0.3468 0.3738 0.3055 0.1926 0.1385 0.2122 0.2758 0.4576
#> 133 M 0.0335 0.2660 0.3188 0.3553 0.3116 0.1965 0.1780 0.2794 0.2870 0.3969
#> 134 M 0.0272 0.3997 0.3941 0.3309 0.2926 0.1760 0.1739 0.2043 0.2088 0.2678
#> 135 M 0.0187 0.2684 0.3108 0.2933 0.2275 0.0994 0.1801 0.2200 0.2732 0.2862
#> 136 M 0.0323 0.2154 0.3085 0.3425 0.2990 0.1402 0.1235 0.1534 0.1901 0.2429
#> 137 M 0.0522 0.2529 0.2716 0.2374 0.1878 0.0983 0.0683 0.1503 0.1723 0.2339
#> 138 M 0.0303 0.2354 0.2898 0.2812 0.1578 0.0273 0.0673 0.1444 0.2070 0.2645
#> 139 M 0.0260 0.2354 0.2720 0.2442 0.1665 0.0336 0.1302 0.1708 0.2177 0.3175
#> 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 0.4060 0.0171 0.3973 0.2741 0.3690 0.5556 0.4846 0.3140 0.5334 0.5256
#> 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 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> 7 0.3238 0.0173 0.4333 0.6068 0.7652 0.9203 0.9719 0.9207 0.7545 0.8289
#> 8 0.1223 0.0063 0.1104 0.1847 0.3715 0.4382 0.5707 0.6654 0.7476 0.7654
#> 9 0.5824 0.0309 0.7728 0.7852 0.8515 0.5312 0.3653 0.5973 0.8275 1.0000
#> 10 0.3024 0.0062 0.3907 0.3542 0.4438 0.6414 0.4601 0.6009 0.8690 0.8345
#> 11 0.4348 0.0615 0.6433 0.3932 0.1989 0.3540 0.9165 0.9371 0.4620 0.2771
#> 12 0.2493 0.0116 0.4128 0.3158 0.6191 0.5854 0.3395 0.2561 0.5599 0.8145
#> 13 0.7157 0.0607 0.5466 0.5399 0.6362 0.7849 0.7756 0.5780 0.4862 0.4181
#> 14 0.8215 0.0149 0.9363 1.0000 0.9224 0.7839 0.5470 0.4562 0.5922 0.5448
#> 15 0.6744 0.0509 0.7969 0.8319 0.7813 0.8626 0.7369 0.4122 0.2596 0.3392
#> 16 0.6086 0.0575 0.4858 0.3246 0.2013 0.2082 0.1686 0.2484 0.2736 0.2984
#> 17 0.2298 0.0484 0.0656 0.1441 0.1179 0.1668 0.1783 0.2476 0.2570 0.1036
#> 18 0.4243 0.0150 0.4217 0.4449 0.4075 0.3306 0.4012 0.4466 0.5218 0.7552
#> 19 0.9154 0.0320 0.7542 0.6736 0.7146 0.8335 0.7701 0.6993 0.6543 0.5040
#> 20 0.2644 0.0300 0.3345 0.4865 0.6628 0.7389 0.9213 1.0000 0.7750 0.5593
#> 21 0.6428 0.0213 1.0000 0.8631 0.5212 0.3156 0.5952 0.7732 0.6042 0.4375
#> 22 0.9064 0.0491 0.8701 0.7672 0.2957 0.4148 0.6043 0.3178 0.3482 0.6158
#> 23 0.3812 0.0132 0.5858 0.4497 0.4876 1.0000 0.8675 0.4718 0.5341 0.6197
#> 24 0.3684 0.0166 0.3918 0.4925 0.8793 0.9606 0.8786 0.6905 0.6937 0.5674
#> 25 0.0494 0.0221 0.1544 0.3485 0.6146 0.9146 0.9364 0.8677 0.8772 0.8553
#> 26 0.1218 0.0022 0.1017 0.1354 0.3157 0.4645 0.5906 0.6776 0.8119 0.8594
#> 27 0.2373 0.0232 0.2595 0.2493 0.3903 0.6384 0.8037 0.7026 0.6874 0.6997
#> 28 0.2479 0.0185 0.3005 0.4300 0.4684 0.4520 0.5026 0.6217 0.6571 0.6632
#> 29 0.2500 0.0319 0.1734 0.3363 0.5588 0.6592 0.7012 0.8099 0.8901 0.8745
#> 30 0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> 31 0.7062 0.0653 0.8196 0.8835 0.8299 0.7609 0.7605 0.8367 0.8905 0.7652
#> 32 0.8793 0.0339 0.9657 1.0000 0.8707 0.6471 0.5973 0.8218 0.7755 0.6111
#> 33 0.1792 0.0281 0.3256 0.6079 0.6988 0.8391 0.8553 0.7710 0.6215 0.5736
#> 34 0.3819 0.0038 0.5627 0.6484 0.7235 0.8242 0.8766 1.0000 0.8582 0.6563
#> 35 0.1091 0.0713 0.1410 0.1268 0.3151 0.1430 0.2264 0.5756 0.7876 0.7158
#> 36 0.3924 0.0046 0.4691 0.5665 0.6464 0.6774 0.7577 0.8856 0.9419 1.0000
#> 37 0.4327 0.0116 0.4760 0.5328 0.6057 0.6696 0.7476 0.8930 0.9405 1.0000
#> 38 0.4026 0.0102 0.4553 0.5525 0.5991 0.5854 0.7114 0.9500 0.9858 1.0000
#> 39 0.3294 0.0124 0.3910 0.5438 0.6115 0.7022 0.7610 0.7973 0.9105 0.8807
#> 40 0.3193 0.0152 0.4567 0.5959 0.7101 0.8225 0.8425 0.9065 0.9802 1.0000
#> 41 0.3640 0.0006 0.5430 0.6673 0.7979 0.9273 0.9027 0.9192 1.0000 0.9821
#> 42 0.3862 0.0045 0.5717 0.6797 0.8747 1.0000 0.8948 0.8420 0.9174 0.9307
#> 43 0.4451 0.0096 0.5224 0.5911 0.6566 0.6308 0.5998 0.4958 0.5647 0.6906
#> 44 0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> 45 0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> 46 0.3880 0.0142 0.3658 0.2297 0.2610 0.4193 0.5848 0.5643 0.5448 0.4772
#> 47 0.0746 0.0215 0.1265 0.2005 0.1571 0.2605 0.5386 0.8440 1.0000 0.8684
#> 48 0.1455 0.0078 0.1579 0.2257 0.1975 0.3368 0.5828 0.8505 1.0000 0.8457
#> 49 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> 50 0.8152 0.0093 0.8129 0.8297 0.8535 0.8870 0.8894 0.8980 0.9667 1.0000
#> 51 0.9045 0.0189 0.9046 1.0000 0.9976 0.9872 0.9761 0.9009 0.9724 0.9675
#> 52 0.7988 0.0294 0.8261 1.0000 0.9814 0.9620 0.9601 0.9118 0.9086 0.7931
#> 53 0.7060 0.0086 0.7918 0.9493 1.0000 0.9645 0.9432 0.8658 0.7895 0.6501
#> 54 0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> 55 0.9407 0.0340 0.8452 0.8106 0.8460 0.6212 0.5815 0.7745 0.8204 0.5601
#> 56 0.9843 0.0318 0.8610 0.8443 0.9061 0.5847 0.4033 0.5946 0.6793 0.6389
#> 57 0.4450 0.1632 0.3921 0.5605 0.7545 0.8311 1.0000 0.8762 0.7092 0.7009
#> 58 0.4200 0.0370 0.2807 0.5148 0.7569 0.8596 1.0000 0.8457 0.6797 0.6971
#> 59 0.3785 0.0454 0.2721 0.5297 0.7697 0.8643 0.9304 0.9372 0.6247 0.6024
#> 60 0.7434 0.0242 0.4463 0.5103 0.6952 0.7755 0.8364 0.7283 0.6399 0.5759
#> 61 0.6210 0.0519 0.4586 0.5001 0.5032 0.7082 0.8420 0.8109 0.7690 0.8105
#> 62 0.2990 0.0192 0.3915 0.3598 0.2403 0.4208 0.5675 0.6094 0.6323 0.6549
#> 63 0.2915 0.0437 0.4235 0.4460 0.2380 0.6415 0.8966 0.8918 0.7529 0.6838
#> 64 0.3038 0.0309 0.4069 0.3613 0.1994 0.4611 0.6849 0.7272 0.7152 0.7102
#> 65 0.3262 0.0146 0.2995 0.2109 0.2104 0.2085 0.2282 0.0747 0.1969 0.4086
#> 66 0.2948 0.0279 0.1729 0.3264 0.3834 0.3523 0.5410 0.5228 0.4475 0.5340
#> 67 0.5255 0.2339 0.3735 0.2243 0.1973 0.4337 0.6532 0.5070 0.2796 0.4163
#> 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 0.9690 0.0253 0.9032 0.7685 0.6998 0.6644 0.5964 0.3711 0.0921 0.0481
#> 72 0.9975 0.0523 0.9911 0.8240 0.6498 0.5980 0.4862 0.3150 0.1543 0.0989
#> 73 0.8333 0.0423 0.8730 0.8073 0.7507 0.7526 0.7298 0.6177 0.4946 0.4531
#> 74 0.7922 0.0071 0.8381 0.8759 0.9422 1.0000 0.9931 0.9575 0.8647 0.7215
#> 75 0.8547 0.0885 0.9234 0.9171 1.0000 0.9532 0.9101 0.8337 0.7053 0.6534
#> 76 0.9194 0.0472 0.9169 1.0000 0.9972 0.9093 0.7918 0.6705 0.5324 0.3572
#> 77 0.9333 0.0599 0.9399 0.9275 0.9450 0.8328 0.7773 0.7007 0.6154 0.5810
#> 78 0.8456 0.0436 0.7939 0.8804 0.8384 0.7852 0.8479 0.7434 0.6433 0.5514
#> 79 0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> 80 0.7304 0.0106 0.8702 0.9349 0.9614 0.9126 0.9443 1.0000 0.9455 0.8815
#> 81 0.6995 0.0478 0.7435 0.8379 0.8641 0.9014 0.9432 0.9536 1.0000 0.9547
#> 82 0.7329 0.0266 0.8107 0.8396 0.8632 0.8747 0.9607 0.9716 0.9121 0.8576
#> 83 0.6041 0.0509 0.6749 0.7084 0.7890 0.9284 0.9781 0.9738 1.0000 0.9702
#> 84 0.7309 0.0041 0.8092 0.8941 0.9668 1.0000 0.9893 0.9376 0.8991 0.9184
#> 85 0.6520 0.0163 0.6788 0.7811 0.8369 0.8969 0.9856 1.0000 0.9395 0.8917
#> 86 0.7579 0.0324 0.6997 0.6918 0.8633 0.9107 0.9346 0.7884 0.8585 0.9261
#> 87 0.8954 0.0849 0.9922 0.8980 0.8158 0.8373 0.7541 0.5893 0.5488 0.5643
#> 88 0.9828 0.0586 0.8982 0.8890 0.9367 0.9122 0.7936 0.6718 0.6318 0.4865
#> 89 0.9146 0.1226 0.7832 0.7960 0.7983 0.7716 0.6615 0.4860 0.5572 0.4697
#> 90 0.8753 0.0446 0.7886 0.7156 0.7581 0.6372 0.3210 0.2076 0.2279 0.3309
#> 91 0.4060 0.1163 0.8395 0.9777 0.4680 0.0610 0.2143 0.1348 0.2854 0.1617
#> 92 0.1908 0.0821 0.8321 1.0000 0.4076 0.0960 0.1928 0.2419 0.3790 0.2893
#> 93 0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> 94 0.4331 0.1070 0.8718 0.7992 0.3712 0.1703 0.1611 0.2086 0.2847 0.2211
#> 95 0.2678 0.0611 0.9188 0.9779 0.3236 0.1944 0.1874 0.0885 0.3443 0.2953
#> 96 0.3257 0.1278 0.9007 0.9312 0.4856 0.1346 0.1604 0.2737 0.5609 0.3654
#> 97 0.3292 0.0902 0.4871 0.6527 0.8454 0.9739 1.0000 0.6665 0.5323 0.4024
#> 98 0.4474 0.1135 0.4079 0.5400 0.4786 0.4332 0.6113 0.5091 0.4606 0.7243
#> 99 0.4583 0.1252 0.5961 0.7464 0.7644 0.5711 0.6257 0.6695 0.7131 0.7567
#> 100 0.1151 0.0563 0.3404 0.5562 0.6379 0.6553 0.7384 0.6534 0.5423 0.6877
#> 101 0.8176 0.0649 0.8835 0.5248 0.6373 0.8375 0.6699 0.7756 0.8750 0.8300
#> 102 0.2745 0.0901 0.6186 0.8958 0.7442 0.5188 0.2811 0.1773 0.6607 0.7576
#> 103 0.6803 0.0315 0.8435 0.9921 1.0000 0.7983 0.5426 0.3952 0.5179 0.5650
#> 104 0.8357 0.0069 0.8593 0.9615 0.9838 0.8705 0.6403 0.5067 0.5395 0.6934
#> 105 0.9006 0.0128 0.9603 0.9162 0.9140 0.7851 0.5134 0.3439 0.3290 0.2571
#> 106 0.1228 0.0059 0.0902 0.1557 0.3291 0.5268 0.6740 0.7906 0.8938 0.9395
#> 107 0.2026 0.0178 0.1506 0.0521 0.2143 0.4333 0.5943 0.6926 0.7576 0.8787
#> 108 0.4309 0.0152 0.4161 0.5116 0.6501 0.7717 0.8491 0.9104 0.8912 0.8189
#> 109 0.7782 0.0065 0.7686 0.8099 0.8493 0.9440 0.9450 0.9655 0.8045 0.4969
#> 110 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> 111 0.5418 0.0186 0.6260 0.7420 0.8257 0.8609 0.8400 0.8949 0.9945 1.0000
#> 112 0.5466 0.0120 0.5933 0.6663 0.7333 0.7136 0.7014 0.7758 0.9137 0.9964
#> 113 0.6950 0.0136 0.8097 0.8550 0.8717 0.8601 0.9201 0.8729 0.8084 0.8694
#> 114 0.6601 0.0216 0.5844 0.4539 0.4789 0.5646 0.5281 0.7115 1.0000 0.9564
#> 115 0.4528 0.0123 0.6339 0.7044 0.8314 0.8449 0.8512 0.9138 0.9985 1.0000
#> 116 0.5280 0.0709 0.7198 0.7702 0.8562 0.8688 0.9236 1.0000 0.9662 0.9822
#> 117 0.3568 0.0165 0.5492 0.7209 0.8318 0.8864 0.9520 0.9637 1.0000 0.9673
#> 118 0.3390 0.0394 0.3926 0.4282 0.5418 0.6448 0.7223 0.7853 0.7984 0.8847
#> 119 0.3382 0.0420 0.4578 0.6474 0.6708 0.7007 0.7619 0.7745 0.6767 0.7373
#> 120 0.2408 0.0321 0.5420 0.6802 0.6320 0.5824 0.6805 0.5984 0.8412 0.9911
#> 121 0.4351 0.0404 0.7264 0.8147 0.8103 0.6665 0.6958 0.7748 0.8688 1.0000
#> 122 0.5949 0.0383 0.7526 0.8959 0.8147 0.7109 0.7378 0.7201 0.8254 0.8917
#> 123 0.2826 0.0279 0.3245 0.3504 0.3324 0.4217 0.4774 0.4808 0.6325 0.8334
#> 124 0.3259 0.0274 0.3679 0.3355 0.3100 0.3914 0.5280 0.6409 0.7707 0.8754
#> 125 0.2427 0.0210 0.3149 0.4102 0.3808 0.4896 0.6292 0.7519 0.7985 0.8830
#> 126 0.2778 0.0267 0.3346 0.3830 0.4003 0.5114 0.6860 0.7490 0.7843 0.9021
#> 127 0.2358 0.0121 0.3107 0.3906 0.3631 0.4809 0.6531 0.7812 0.8395 0.9180
#> 128 0.4898 0.0141 0.6127 0.7531 0.7718 0.7432 0.8673 0.9308 0.9836 1.0000
#> 129 0.6218 0.0017 0.7265 0.8346 0.8268 0.8366 0.9408 0.9510 0.9801 0.9974
#> 130 0.5233 0.0421 0.6684 0.7766 0.7928 0.7940 0.9129 0.9498 0.9835 1.0000
#> 131 0.5036 0.0318 0.6166 0.7616 0.8125 0.7793 0.8788 0.8813 0.9470 1.0000
#> 132 0.6487 0.0387 0.7154 0.8010 0.7924 0.8793 1.0000 0.9865 0.9474 0.9474
#> 133 0.5599 0.0258 0.6936 0.7969 0.7452 0.8203 0.9261 0.8810 0.8814 0.9301
#> 134 0.2434 0.0378 0.1839 0.2802 0.6172 0.8015 0.8313 0.8440 0.8494 0.9168
#> 135 0.2034 0.0346 0.1740 0.4130 0.6879 0.8120 0.8453 0.8919 0.9300 0.9987
#> 136 0.2120 0.0101 0.2395 0.3272 0.5949 0.8302 0.9045 0.9888 0.9912 0.9448
#> 137 0.1962 0.0437 0.1395 0.3164 0.5888 0.7631 0.8473 0.9424 0.9986 0.9699
#> 138 0.2828 0.0353 0.4293 0.5685 0.6990 0.7246 0.7622 0.9242 1.0000 0.9979
#> 139 0.3714 0.0363 0.4552 0.5700 0.7397 0.8062 0.8837 0.9432 1.0000 0.9375
#> 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 0.2520 0.2090 0.0623 0.3559 0.6260 0.7340 0.6120 0.3497 0.3953 0.3012
#> 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 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> 7 0.8907 0.7309 0.0347 0.6896 0.5829 0.4935 0.3101 0.0306 0.0244 0.1108
#> 8 0.8555 0.9720 0.0152 0.9221 0.7502 0.7209 0.7757 0.6055 0.5021 0.4499
#> 9 0.8673 0.6301 0.0169 0.4591 0.3940 0.2576 0.2817 0.2641 0.2757 0.2698
#> 10 0.7669 0.5081 0.0253 0.4620 0.5380 0.5375 0.3844 0.3601 0.7402 0.7761
#> 11 0.6613 0.8028 0.0650 0.4200 0.5192 0.6962 0.5792 0.8889 0.7863 0.7133
#> 12 0.6941 0.6985 0.0191 0.8660 0.5930 0.3664 0.6750 0.8697 0.7837 0.7552
#> 13 0.2457 0.0716 0.0378 0.0613 0.1816 0.4493 0.5976 0.3785 0.2495 0.5771
#> 14 0.3971 0.0882 0.0641 0.2385 0.2005 0.0587 0.2544 0.2009 0.0329 0.1547
#> 15 0.3788 0.4488 0.0819 0.6281 0.7449 0.7328 0.7704 0.7870 0.6048 0.5860
#> 16 0.4655 0.6990 0.0842 0.7474 0.7956 0.7981 0.6715 0.6942 0.7440 0.8169
#> 17 0.5356 0.7124 0.0299 0.6291 0.4756 0.6015 0.7208 0.6234 0.5725 0.7523
#> 18 0.9503 1.0000 0.0136 0.9084 0.8283 0.7571 0.7262 0.6152 0.5680 0.5757
#> 19 0.4926 0.4992 0.0599 0.4161 0.1631 0.0404 0.0637 0.2962 0.3609 0.1866
#> 20 0.6172 0.8635 0.0288 0.6592 0.4770 0.4983 0.3330 0.3076 0.2876 0.2226
#> 21 0.5487 0.4720 0.0058 0.6235 0.3851 0.1590 0.3891 0.5294 0.3504 0.4480
#> 22 0.8049 0.6289 0.0692 0.4999 0.5830 0.6660 0.4124 0.1260 0.2487 0.4676
#> 23 0.7143 0.5605 0.0533 0.3728 0.2481 0.1921 0.1386 0.3325 0.2883 0.3228
#> 24 0.6540 0.7802 0.0398 0.7575 0.5836 0.6316 0.8108 0.9039 0.8647 0.6695
#> 25 0.8833 1.0000 0.0270 0.8296 0.6601 0.5499 0.5716 0.6859 0.6825 0.5142
#> 26 0.9228 0.8387 0.0196 0.7238 0.6292 0.5181 0.4629 0.5255 0.5147 0.3929
#> 27 0.8558 1.0000 0.0513 0.9621 0.8996 0.7575 0.6902 0.5686 0.4396 0.4546
#> 28 0.7321 0.8534 0.0056 1.0000 0.8448 0.6354 0.6308 0.6211 0.6976 0.5868
#> 29 0.7887 0.8725 0.0415 0.9376 0.8920 0.7508 0.6832 0.7610 0.9017 1.0000
#> 30 0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> 31 0.5897 0.3037 0.0397 0.0823 0.2787 0.7241 0.8032 0.8050 0.7676 0.7468
#> 32 0.4195 0.2990 0.0202 0.1354 0.2438 0.5624 0.5555 0.6963 0.7298 0.7022
#> 33 0.4402 0.4056 0.0232 0.4411 0.5130 0.5965 0.7272 0.6539 0.5902 0.5393
#> 34 0.5087 0.4817 0.0642 0.4530 0.4521 0.4532 0.5385 0.5308 0.5356 0.5271
#> 35 0.5998 0.5583 0.0326 0.6295 0.7659 0.8940 0.8436 0.6807 0.8380 1.0000
#> 36 0.8564 0.6790 0.0081 0.5587 0.4147 0.2946 0.2025 0.0688 0.1171 0.2157
#> 37 0.9785 0.8473 0.0123 0.7639 0.6701 0.4989 0.3718 0.2196 0.1416 0.2680
#> 38 0.9578 0.8642 0.0113 0.7128 0.5893 0.4323 0.2897 0.1744 0.0770 0.2297
#> 39 0.7949 0.7990 0.0174 0.7180 0.6407 0.6312 0.5929 0.6168 0.6498 0.6764
#> 40 0.8752 0.7583 0.0218 0.6616 0.5786 0.5128 0.4776 0.4994 0.5197 0.5071
#> 41 0.9092 0.8184 0.0088 0.6962 0.5900 0.5447 0.5142 0.5389 0.5531 0.5318
#> 42 0.9050 0.8228 0.0051 0.6986 0.5831 0.4924 0.4563 0.5159 0.5670 0.5284
#> 43 0.8513 1.0000 0.0024 0.9166 0.7676 0.6177 0.5468 0.5516 0.5463 0.5515
#> 44 0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> 45 0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> 46 0.6897 0.9797 0.0181 1.0000 0.9546 0.8835 0.7662 0.6547 0.5447 0.4593
#> 47 0.6742 0.5537 0.0273 0.4638 0.3609 0.2055 0.1620 0.2092 0.3100 0.2344
#> 48 0.6624 0.5564 0.0092 0.3925 0.3233 0.2054 0.1920 0.2227 0.3147 0.2268
#> 49 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> 50 0.9134 0.6762 0.0121 0.4659 0.2895 0.2959 0.1746 0.2112 0.2569 0.2276
#> 51 0.7633 0.4434 0.0466 0.3822 0.4727 0.4007 0.3381 0.3172 0.2222 0.0733
#> 52 0.5877 0.3474 0.0476 0.4235 0.4633 0.3410 0.2849 0.2847 0.1742 0.0549
#> 53 0.4492 0.4739 0.0058 0.6153 0.4929 0.3195 0.3735 0.3336 0.1052 0.0671
#> 54 0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> 55 0.2989 0.5009 0.0392 0.6628 0.5753 0.4055 0.3746 0.3481 0.1580 0.1422
#> 56 0.5002 0.5578 0.0423 0.4831 0.4729 0.3318 0.3969 0.3894 0.2314 0.1036
#> 57 0.5014 0.3942 0.1636 0.4456 0.4072 0.0773 0.1423 0.0401 0.3597 0.6847
#> 58 0.5843 0.4772 0.0953 0.5201 0.4241 0.1592 0.1668 0.0588 0.3967 0.7147
#> 59 0.6810 0.5047 0.0382 0.5775 0.4754 0.2400 0.2779 0.1997 0.5305 0.7409
#> 60 0.4146 0.3495 0.0621 0.4437 0.2665 0.2024 0.1942 0.0765 0.3725 0.5843
#> 61 0.6203 0.2356 0.0621 0.2595 0.6299 0.6762 0.2903 0.4393 0.8529 0.7180
#> 62 0.7673 1.0000 0.0254 0.8463 0.5509 0.4444 0.5169 0.4268 0.1802 0.0791
#> 63 0.8390 1.0000 0.0347 0.8362 0.5427 0.4577 0.8067 0.6973 0.3915 0.1558
#> 64 0.8516 1.0000 0.0171 0.7690 0.4841 0.3717 0.6096 0.5110 0.2586 0.0916
#> 65 0.6385 0.7970 0.0026 0.7508 0.5517 0.2214 0.4672 0.4479 0.2297 0.3235
#> 66 0.5323 0.3907 0.0592 0.3456 0.4091 0.4639 0.5580 0.5727 0.6355 0.7563
#> 67 0.5950 0.5242 0.3059 0.4178 0.3714 0.2375 0.0863 0.1437 0.2896 0.4577
#> 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 0.0876 0.1040 0.0262 0.1714 0.3264 0.4612 0.3939 0.5050 0.4833 0.3511
#> 72 0.0284 0.1008 0.0653 0.2636 0.2694 0.2930 0.2925 0.3998 0.3660 0.3172
#> 73 0.4099 0.4540 0.0474 0.4124 0.3139 0.3194 0.3692 0.3776 0.4469 0.4777
#> 74 0.5801 0.4964 0.0342 0.4886 0.4079 0.2443 0.1768 0.2472 0.3518 0.3762
#> 75 0.4483 0.2460 0.1997 0.2020 0.1446 0.0994 0.1510 0.2392 0.4434 0.5023
#> 76 0.2484 0.3161 0.0697 0.3775 0.3138 0.1713 0.2937 0.5234 0.5926 0.5437
#> 77 0.4454 0.3707 0.0656 0.2891 0.2185 0.1711 0.3578 0.3947 0.2867 0.2401
#> 78 0.3519 0.3168 0.0447 0.3346 0.2056 0.1032 0.3168 0.4040 0.4282 0.4538
#> 79 0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> 80 0.7520 0.7068 0.0130 0.5986 0.3857 0.2510 0.2162 0.0968 0.1323 0.1344
#> 81 0.9745 0.8962 0.0298 0.7196 0.5462 0.3156 0.2525 0.1969 0.2189 0.1533
#> 82 0.8798 0.7720 0.0223 0.5711 0.4264 0.2860 0.3114 0.2066 0.1165 0.0185
#> 83 0.9956 0.8235 0.0079 0.6020 0.5342 0.4867 0.3526 0.1566 0.0946 0.1613
#> 84 0.9128 0.7811 0.0239 0.6018 0.3765 0.3300 0.2280 0.0212 0.1117 0.1788
#> 85 0.8105 0.6828 0.0341 0.5572 0.4301 0.3339 0.2035 0.0798 0.0809 0.1525
#> 86 0.7080 0.5779 0.0688 0.5215 0.4505 0.3129 0.1448 0.1046 0.1820 0.1519
#> 87 0.5406 0.4783 0.0587 0.4439 0.3698 0.2574 0.1478 0.1743 0.1229 0.1588
#> 88 0.3388 0.4832 0.0628 0.3822 0.3075 0.1267 0.0743 0.1510 0.1906 0.1817
#> 89 0.5640 0.4517 0.1385 0.3369 0.2684 0.2339 0.3052 0.3016 0.2753 0.1041
#> 90 0.2847 0.1949 0.0235 0.1671 0.1025 0.1362 0.2212 0.1124 0.1677 0.1039
#> 91 0.2649 0.4565 0.0866 0.6502 0.2848 0.3296 0.5370 0.6627 0.8626 0.8547
#> 92 0.3451 0.3777 0.0629 0.5213 0.2316 0.3335 0.4781 0.6116 0.6705 0.7375
#> 93 0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> 94 0.6134 0.5807 0.0257 0.6925 0.3825 0.4303 0.7791 0.8703 1.0000 0.9212
#> 95 0.5908 0.4564 0.1136 0.7334 0.1969 0.2790 0.6212 0.8681 0.8621 0.9380
#> 96 0.6139 0.5470 0.0926 0.8474 0.5638 0.5443 0.5086 0.6253 0.8497 0.8406
#> 97 0.3444 0.4239 0.0833 0.4182 0.4393 0.1162 0.4336 0.6553 0.6172 0.4373
#> 98 0.8987 0.8826 0.0518 0.9201 0.8005 0.6033 0.2120 0.2866 0.4033 0.2803
#> 99 0.8077 0.8477 0.1447 0.9289 0.9513 0.7995 0.4362 0.4048 0.4952 0.1712
#> 100 0.7325 0.7726 0.1219 0.8229 0.8787 0.9108 0.6705 0.6092 0.7505 0.4775
#> 101 0.6896 0.3372 0.0737 0.6405 0.7138 0.8202 0.6657 0.5254 0.2960 0.0704
#> 102 0.5122 0.4701 0.1276 0.5479 0.4347 0.1276 0.0846 0.0927 0.0313 0.0998
#> 103 0.3042 0.1881 0.0170 0.3960 0.2286 0.3544 0.4187 0.2398 0.1847 0.3760
#> 104 0.8487 0.8213 0.0279 0.5962 0.2950 0.2758 0.2885 0.1893 0.1446 0.0955
#> 105 0.3685 0.5765 0.0015 0.6190 0.4613 0.3615 0.4434 0.3864 0.3093 0.2138
#> 106 0.9493 0.9040 0.0080 0.9151 0.8828 0.8086 0.7180 0.6720 0.6447 0.6879
#> 107 0.9060 0.8528 0.0274 0.9087 0.9657 0.9306 0.7774 0.6643 0.6604 0.6884
#> 108 0.6779 0.5368 0.0346 0.5207 0.5651 0.5749 0.5250 0.4255 0.3330 0.2331
#> 109 0.3960 0.3856 0.0164 0.5574 0.7309 0.8549 0.9425 0.8726 0.6673 0.4694
#> 110 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> 111 0.9649 0.8747 0.0289 0.6257 0.2184 0.2945 0.3645 0.5012 0.7843 0.9361
#> 112 1.0000 0.8881 0.0436 0.6585 0.2707 0.1746 0.2709 0.4853 0.7184 0.8209
#> 113 0.8411 0.5793 0.0408 0.3754 0.3485 0.4639 0.6495 0.6901 0.5666 0.5188
#> 114 0.6090 0.5112 0.0386 0.4000 0.0482 0.1852 0.2186 0.1436 0.1757 0.1428
#> 115 0.7544 0.4661 0.0117 0.3924 0.3849 0.4674 0.4245 0.3095 0.0752 0.2885
#> 116 0.7360 0.4158 0.0453 0.2918 0.3280 0.3690 0.3450 0.2863 0.0864 0.3724
#> 117 0.8664 0.7896 0.0344 0.6345 0.5351 0.4056 0.2563 0.2894 0.3588 0.4296
#> 118 0.9582 0.8990 0.0384 0.6831 0.6108 0.5480 0.5058 0.4476 0.2401 0.1405
#> 119 0.7834 0.9619 0.0446 1.0000 0.8086 0.5558 0.5409 0.4988 0.3108 0.2897
#> 120 0.9187 0.8005 0.0709 0.6713 0.5632 0.7332 0.6038 0.2575 0.0349 0.1799
#> 121 0.9941 0.8793 0.0682 0.6482 0.5876 0.6408 0.4972 0.2755 0.0300 0.3356
#> 122 0.9820 0.8179 0.0505 0.4848 0.3203 0.2775 0.2382 0.2911 0.1675 0.3156
#> 123 0.9458 1.0000 0.0103 0.8425 0.5524 0.4795 0.5200 0.3968 0.1940 0.1519
#> 124 1.0000 0.9806 0.0248 0.6969 0.4973 0.5020 0.5359 0.3842 0.1848 0.1149
#> 125 0.9915 0.9223 0.0282 0.6981 0.6167 0.5069 0.3921 0.3524 0.2183 0.1245
#> 126 1.0000 0.8888 0.0221 0.6511 0.6083 0.4463 0.2948 0.1729 0.1488 0.0801
#> 127 0.9769 0.8937 0.0380 0.7022 0.6500 0.5069 0.3903 0.3009 0.1565 0.0985
#> 128 0.9595 0.8722 0.0309 0.6862 0.4901 0.3280 0.3115 0.1969 0.1019 0.0317
#> 129 1.0000 0.9036 0.0270 0.6409 0.3857 0.2908 0.2040 0.1653 0.1769 0.1140
#> 130 0.9471 0.8237 0.0504 0.6252 0.4181 0.3209 0.2658 0.2196 0.1588 0.0561
#> 131 0.9739 0.8446 0.0422 0.6151 0.4302 0.3165 0.2869 0.2017 0.1206 0.0271
#> 132 0.9315 0.8326 0.0329 0.6213 0.3772 0.2822 0.2042 0.2190 0.2223 0.1327
#> 133 0.9955 0.8576 0.0398 0.6069 0.3934 0.2464 0.1645 0.1140 0.0956 0.0080
#> 134 1.0000 0.7896 0.0488 0.5371 0.6472 0.6505 0.4959 0.2175 0.0990 0.0434
#> 135 1.0000 0.8104 0.0168 0.6199 0.6041 0.5547 0.4160 0.1472 0.0849 0.0608
#> 136 1.0000 0.9092 0.0298 0.7412 0.7691 0.7117 0.5304 0.2131 0.0928 0.1297
#> 137 1.0000 0.8630 0.0180 0.6979 0.7717 0.7305 0.5197 0.1786 0.1098 0.1446
#> 138 0.8297 0.7032 0.0490 0.7141 0.6893 0.4961 0.2584 0.0969 0.0776 0.0364
#> 139 0.7603 0.7123 0.0136 0.8358 0.7622 0.4567 0.1715 0.1549 0.1641 0.1869
#> 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 0.5408 0.8814 0.9857 0.0205 0.9167 0.6121 0.5006 0.3210 0.3202 0.4295
#> 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 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> 7 0.1594 0.1371 0.0696 0.0070 0.0452 0.0620 0.1421 0.1597 0.1384 0.0372
#> 8 0.3947 0.4281 0.4427 0.0336 0.3749 0.1972 0.0511 0.0793 0.1269 0.1533
#> 9 0.3994 0.4576 0.3940 0.0313 0.2522 0.1782 0.1354 0.0516 0.0337 0.0894
#> 10 0.3858 0.0667 0.3684 0.0489 0.6114 0.3510 0.2312 0.2195 0.3051 0.1937
#> 11 0.7615 0.4401 0.3009 0.0921 0.3163 0.2809 0.2898 0.0526 0.1867 0.1553
#> 12 0.5789 0.4713 0.1252 0.0469 0.6087 0.7322 0.5977 0.3431 0.1803 0.2378
#> 13 0.8852 0.8409 0.3570 0.0774 0.3133 0.6096 0.6378 0.2709 0.1419 0.1260
#> 14 0.1212 0.2446 0.3171 0.1732 0.3195 0.3051 0.0836 0.1266 0.1381 0.1136
#> 15 0.6385 0.7279 0.6286 0.1252 0.5316 0.4069 0.1791 0.1625 0.2527 0.1903
#> 16 0.8912 1.0000 0.8753 0.0372 0.7061 0.6803 0.5898 0.4618 0.3639 0.1492
#> 17 0.8712 0.9252 0.9709 0.0297 0.9297 0.8995 0.7911 0.5600 0.2838 0.4407
#> 18 0.5324 0.3672 0.1669 0.0076 0.0866 0.0646 0.1891 0.2683 0.2887 0.2341
#> 19 0.0476 0.1497 0.2405 0.1050 0.1980 0.3175 0.2379 0.1716 0.1559 0.1556
#> 20 0.0794 0.0603 0.1049 0.0394 0.0606 0.1530 0.0983 0.1643 0.1901 0.1107
#> 21 0.4041 0.5031 0.6475 0.0190 0.5493 0.3548 0.2028 0.1882 0.0845 0.1315
#> 22 0.5382 0.3150 0.2139 0.0831 0.1848 0.1679 0.2328 0.1015 0.0713 0.0615
#> 23 0.2607 0.2040 0.2396 0.0569 0.1319 0.0683 0.0334 0.0716 0.0976 0.0787
#> 24 0.4027 0.2370 0.2685 0.0359 0.3662 0.3267 0.2200 0.2996 0.2205 0.1163
#> 25 0.2750 0.1358 0.1551 0.0481 0.2646 0.1994 0.1883 0.2746 0.1651 0.0575
#> 26 0.1279 0.0411 0.0859 0.0206 0.1131 0.1306 0.1757 0.2648 0.1955 0.0656
#> 27 0.2959 0.1587 0.1681 0.0444 0.0842 0.1173 0.1754 0.2728 0.1705 0.0194
#> 28 0.4889 0.3683 0.2043 0.0064 0.1469 0.2220 0.1449 0.1490 0.1211 0.1144
#> 29 0.9123 0.7388 0.5915 0.0286 0.4057 0.3019 0.2331 0.2931 0.2298 0.2391
#> 30 0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> 31 0.6253 0.1730 0.2916 0.0604 0.5003 0.5220 0.4824 0.4004 0.3877 0.1651
#> 32 0.5468 0.1421 0.4738 0.0889 0.6410 0.4375 0.3178 0.2377 0.2808 0.1374
#> 33 0.4897 0.4081 0.4145 0.0225 0.6003 0.7196 0.6633 0.6287 0.4087 0.3212
#> 34 0.4260 0.2436 0.1205 0.0452 0.3845 0.4107 0.5067 0.4216 0.2479 0.1586
#> 35 0.9497 0.7866 0.5647 0.0272 0.3480 0.2585 0.2304 0.2948 0.3363 0.3017
#> 36 0.2216 0.2776 0.2309 0.0230 0.1444 0.1513 0.1745 0.1756 0.1424 0.0908
#> 37 0.2630 0.3104 0.3392 0.0245 0.2123 0.1170 0.2655 0.2203 0.1541 0.1464
#> 38 0.2459 0.3101 0.3312 0.0263 0.2220 0.0871 0.2064 0.1808 0.1624 0.1120
#> 39 0.6253 0.5117 0.3890 0.0152 0.3273 0.2509 0.1530 0.1323 0.1657 0.1215
#> 40 0.4577 0.3505 0.1845 0.0175 0.1890 0.1967 0.1041 0.0550 0.0492 0.0622
#> 41 0.4826 0.3790 0.1831 0.0456 0.1750 0.1679 0.0674 0.0609 0.0375 0.0533
#> 42 0.5144 0.3742 0.2282 0.0289 0.1193 0.1088 0.0431 0.1070 0.0583 0.0046
#> 43 0.4561 0.3466 0.3384 0.0058 0.2853 0.2502 0.1641 0.1605 0.1491 0.1326
#> 44 0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> 45 0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> 46 0.4679 0.1987 0.0699 0.0406 0.1493 0.1713 0.1654 0.2600 0.3846 0.3754
#> 47 0.1058 0.0383 0.0528 0.0139 0.1291 0.2241 0.1915 0.1587 0.0942 0.0840
#> 48 0.0795 0.0748 0.1166 0.0387 0.1969 0.2619 0.2507 0.1983 0.0948 0.0931
#> 49 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> 50 0.2149 0.1601 0.0371 0.0378 0.0117 0.0488 0.0288 0.0597 0.0431 0.0369
#> 51 0.2692 0.1888 0.0712 0.0440 0.1062 0.0694 0.0300 0.0893 0.1459 0.1348
#> 52 0.1192 0.1154 0.0855 0.0539 0.1811 0.1264 0.0799 0.0378 0.1268 0.1125
#> 53 0.0379 0.0461 0.1694 0.0460 0.2169 0.1677 0.0644 0.0159 0.0778 0.0653
#> 54 0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> 55 0.2130 0.1866 0.1003 0.0236 0.2396 0.2241 0.2029 0.0710 0.1606 0.1669
#> 56 0.1312 0.0864 0.2569 0.0350 0.3179 0.2649 0.2714 0.1713 0.0584 0.1230
#> 57 0.7076 0.3597 0.0612 0.1421 0.3027 0.3966 0.3868 0.2380 0.2059 0.2288
#> 58 0.7319 0.3509 0.0589 0.0824 0.2690 0.4200 0.3874 0.2440 0.2000 0.2307
#> 59 0.7775 0.4424 0.1416 0.0203 0.3508 0.4482 0.4208 0.3054 0.2235 0.2611
#> 60 0.4827 0.2347 0.0999 0.0560 0.3244 0.3990 0.2975 0.1684 0.1761 0.1683
#> 61 0.4801 0.5856 0.4993 0.0518 0.2866 0.0601 0.1167 0.2737 0.2812 0.2078
#> 62 0.0535 0.1906 0.2561 0.0061 0.2153 0.2769 0.2841 0.1733 0.0815 0.0335
#> 63 0.1598 0.2161 0.5178 0.0456 0.4782 0.2344 0.3599 0.2785 0.1807 0.0352
#> 64 0.0947 0.2287 0.3480 0.0228 0.2095 0.1901 0.2941 0.2211 0.1524 0.0746
#> 65 0.4480 0.5581 0.6520 0.0141 0.5354 0.2478 0.2268 0.1788 0.0898 0.0536
#> 66 0.6903 0.6176 0.5379 0.1270 0.5622 0.6508 0.4797 0.3736 0.2804 0.1982
#> 67 0.3725 0.3372 0.3803 0.4264 0.4181 0.3603 0.2711 0.1653 0.1951 0.2811
#> 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 0.2319 0.4029 0.3676 0.0386 0.1510 0.0745 0.1395 0.1552 0.0377 0.0636
#> 72 0.4609 0.4374 0.1820 0.0521 0.3376 0.6202 0.4448 0.1863 0.1420 0.0589
#> 73 0.4716 0.4664 0.3893 0.0818 0.4255 0.4064 0.3712 0.3863 0.2802 0.1283
#> 74 0.2909 0.2311 0.3168 0.0793 0.3554 0.3741 0.4443 0.3261 0.1963 0.0864
#> 75 0.4441 0.4571 0.3927 0.2604 0.2900 0.3408 0.4990 0.3632 0.1387 0.1800
#> 76 0.4516 0.3379 0.3215 0.1021 0.2178 0.1674 0.2634 0.2980 0.2037 0.1155
#> 77 0.3619 0.3314 0.3763 0.0229 0.4767 0.4059 0.3661 0.2320 0.1450 0.1017
#> 78 0.3704 0.3741 0.3839 0.0844 0.3494 0.4380 0.4265 0.2854 0.2808 0.2395
#> 79 0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> 80 0.2250 0.3244 0.3939 0.0842 0.3806 0.3258 0.3654 0.2983 0.1779 0.1535
#> 81 0.0711 0.1498 0.1755 0.0210 0.2276 0.1322 0.1056 0.1973 0.1692 0.1881
#> 82 0.1302 0.2480 0.1637 0.0749 0.1103 0.2144 0.2033 0.1887 0.1370 0.1376
#> 83 0.2824 0.3390 0.3019 0.0243 0.2945 0.2978 0.2676 0.2055 0.2069 0.1625
#> 84 0.2373 0.2843 0.2241 0.0441 0.2715 0.3363 0.2546 0.1867 0.2160 0.1278
#> 85 0.2626 0.2456 0.1980 0.0247 0.2412 0.2409 0.1901 0.2077 0.1767 0.1119
#> 86 0.1017 0.1438 0.1986 0.0898 0.2039 0.2778 0.2879 0.1331 0.1140 0.1310
#> 87 0.1803 0.1436 0.1667 0.0218 0.2630 0.2234 0.1239 0.0869 0.2092 0.1499
#> 88 0.1709 0.0946 0.2829 0.0534 0.3006 0.1602 0.1483 0.2875 0.2047 0.1064
#> 89 0.1757 0.3156 0.3603 0.1484 0.2736 0.1301 0.2458 0.3404 0.1753 0.0679
#> 90 0.2562 0.2624 0.2236 0.1008 0.1180 0.1103 0.2831 0.2385 0.0255 0.1967
#> 91 0.7848 0.9016 0.8827 0.0358 0.6086 0.2810 0.0906 0.1177 0.2694 0.5214
#> 92 0.7356 0.7792 0.6788 0.0608 0.5259 0.2762 0.1545 0.2019 0.2231 0.4221
#> 93 0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> 94 0.9386 0.9303 0.7314 0.0837 0.4791 0.2087 0.2016 0.1669 0.2872 0.4374
#> 95 0.8327 0.9480 0.6721 0.1203 0.4436 0.5163 0.3809 0.1557 0.1449 0.2662
#> 96 0.8420 0.9136 0.7713 0.1234 0.4882 0.3724 0.4469 0.4586 0.4491 0.5616
#> 97 0.4118 0.3641 0.4572 0.0813 0.4367 0.2964 0.4312 0.4155 0.1824 0.1487
#> 98 0.3087 0.3550 0.2545 0.0232 0.1432 0.5869 0.6431 0.5826 0.4286 0.4894
#> 99 0.3652 0.3763 0.2841 0.1644 0.0427 0.5331 0.6952 0.4288 0.3063 0.5835
#> 100 0.1666 0.3749 0.3776 0.1206 0.2106 0.5886 0.5628 0.2577 0.5245 0.6149
#> 101 0.0970 0.3941 0.6028 0.1132 0.3521 0.3924 0.4808 0.4602 0.4164 0.5438
#> 102 0.1781 0.1586 0.3001 0.1497 0.2208 0.1455 0.2895 0.3203 0.1414 0.0629
#> 103 0.4331 0.3626 0.2519 0.0226 0.1870 0.1046 0.2339 0.1991 0.1100 0.0684
#> 104 0.0888 0.0836 0.0894 0.0583 0.1547 0.2318 0.2225 0.1035 0.1721 0.2017
#> 105 0.1112 0.1386 0.1523 0.0450 0.0996 0.1644 0.1902 0.1313 0.1776 0.2000
#> 106 0.6241 0.4936 0.4144 0.0554 0.4240 0.4546 0.4392 0.4323 0.4921 0.4710
#> 107 0.6938 0.5932 0.5774 0.0232 0.6223 0.5841 0.4527 0.4911 0.5762 0.5013
#> 108 0.1451 0.1648 0.2694 0.0346 0.3730 0.4467 0.4133 0.3743 0.3021 0.2069
#> 109 0.1546 0.1748 0.3607 0.0487 0.5208 0.5177 0.3702 0.2240 0.0816 0.0395
#> 110 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> 111 0.8195 0.6207 0.4513 0.0195 0.3004 0.2674 0.2241 0.3141 0.3693 0.2986
#> 112 0.7536 0.6496 0.4708 0.0624 0.3482 0.3508 0.3181 0.3524 0.3659 0.2846
#> 113 0.5060 0.3885 0.3762 0.0633 0.3738 0.2605 0.1591 0.1875 0.2267 0.1577
#> 114 0.1644 0.3089 0.3648 0.0627 0.4441 0.3859 0.2813 0.1238 0.0953 0.1201
#> 115 0.4072 0.3170 0.2863 0.0113 0.2634 0.0541 0.1874 0.3459 0.4646 0.4366
#> 116 0.4649 0.3488 0.1817 0.0333 0.1142 0.1220 0.2621 0.4461 0.4726 0.3263
#> 117 0.4773 0.4516 0.3765 0.0330 0.3051 0.1921 0.1184 0.1984 0.1570 0.0660
#> 118 0.1772 0.1742 0.3326 0.0076 0.4021 0.3009 0.2075 0.1206 0.0255 0.0298
#> 119 0.2244 0.0960 0.2287 0.0551 0.3228 0.3454 0.3882 0.3240 0.0926 0.1173
#> 120 0.3039 0.4760 0.5756 0.0108 0.4254 0.5046 0.7179 0.6163 0.5663 0.5749
#> 121 0.3167 0.4133 0.6281 0.0688 0.4977 0.2613 0.4697 0.4806 0.4921 0.5294
#> 122 0.1869 0.3391 0.5993 0.0707 0.4124 0.1181 0.3651 0.4655 0.4777 0.3517
#> 123 0.2010 0.1736 0.1029 0.0566 0.2244 0.3717 0.4449 0.3939 0.2030 0.2010
#> 124 0.1570 0.1311 0.1583 0.0237 0.2631 0.3103 0.4512 0.3785 0.1269 0.1459
#> 125 0.1592 0.1626 0.2356 0.0596 0.2483 0.2437 0.2715 0.1184 0.1157 0.1449
#> 126 0.1770 0.1382 0.2404 0.0561 0.2046 0.1970 0.2778 0.1377 0.0685 0.0664
#> 127 0.2200 0.2243 0.2736 0.0128 0.2152 0.2438 0.3154 0.2112 0.0991 0.0594
#> 128 0.0756 0.0907 0.1066 0.0375 0.1380 0.0665 0.1475 0.2470 0.2788 0.2709
#> 129 0.0740 0.0941 0.0621 0.0450 0.0426 0.0572 0.1068 0.1909 0.2229 0.2203
#> 130 0.0948 0.1700 0.1215 0.0250 0.1282 0.0386 0.1329 0.2331 0.2468 0.1960
#> 131 0.0580 0.1262 0.1072 0.0399 0.1082 0.0360 0.1197 0.2061 0.2054 0.1878
#> 132 0.0521 0.0618 0.1416 0.0078 0.1460 0.0846 0.1055 0.1639 0.1916 0.2085
#> 133 0.0702 0.0936 0.0894 0.0570 0.1127 0.0873 0.1020 0.1964 0.2256 0.1814
#> 134 0.1708 0.1979 0.1880 0.0848 0.1108 0.1702 0.0585 0.0638 0.1391 0.0638
#> 135 0.0969 0.1411 0.1676 0.0177 0.1200 0.1201 0.1036 0.1977 0.1339 0.0902
#> 136 0.1159 0.1226 0.1768 0.0564 0.0345 0.1562 0.0824 0.1149 0.1694 0.0954
#> 137 0.1066 0.1440 0.1929 0.0292 0.0325 0.1490 0.0328 0.0537 0.1309 0.0910
#> 138 0.1572 0.1823 0.1349 0.0608 0.0849 0.0492 0.1367 0.1552 0.1548 0.1319
#> 139 0.2655 0.1713 0.0959 0.0272 0.0768 0.0847 0.2076 0.2505 0.1862 0.1439
#> 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 0.3654 0.2655 0.1576 0.0681 0.0205 0.0294 0.0241 0.0121 0.0036 0.0150
#> 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 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> 7 0.0688 0.0867 0.0513 0.0092 0.0187 0.0198 0.0118 0.0090 0.0223 0.0179
#> 8 0.0690 0.0402 0.0534 0.0228 0.0310 0.0073 0.0062 0.0062 0.0120 0.0052
#> 9 0.0861 0.0872 0.0445 0.0134 0.0358 0.0217 0.0188 0.0133 0.0265 0.0224
#> 10 0.1570 0.0479 0.0538 0.0146 0.1197 0.0068 0.0187 0.0059 0.0095 0.0194
#> 11 0.1633 0.1252 0.0748 0.0452 0.1615 0.0064 0.0154 0.0031 0.0153 0.0071
#> 12 0.3424 0.2303 0.0689 0.0216 0.0737 0.0469 0.0426 0.0346 0.0158 0.0154
#> 13 0.1288 0.0790 0.0829 0.0520 0.1388 0.0216 0.0360 0.0331 0.0131 0.0120
#> 14 0.0516 0.0073 0.0278 0.0372 0.2565 0.0121 0.0153 0.0092 0.0035 0.0098
#> 15 0.1643 0.0604 0.0209 0.0436 0.1783 0.0175 0.0107 0.0193 0.0118 0.0064
#> 16 0.1216 0.1306 0.1198 0.0578 0.0458 0.0235 0.0135 0.0141 0.0190 0.0043
#> 17 0.5507 0.4331 0.2905 0.1981 0.0652 0.0779 0.0396 0.0173 0.0149 0.0115
#> 18 0.1668 0.1015 0.1195 0.0704 0.0211 0.0167 0.0107 0.0091 0.0016 0.0084
#> 19 0.0422 0.0493 0.0476 0.0219 0.1163 0.0059 0.0086 0.0061 0.0015 0.0084
#> 20 0.1917 0.1467 0.0392 0.0356 0.0630 0.0270 0.0168 0.0102 0.0122 0.0044
#> 21 0.1590 0.0562 0.0617 0.0343 0.0319 0.0370 0.0261 0.0157 0.0074 0.0271
#> 22 0.0779 0.0761 0.0845 0.0592 0.0079 0.0068 0.0089 0.0087 0.0032 0.0130
#> 23 0.0522 0.0500 0.0231 0.0221 0.0647 0.0144 0.0307 0.0386 0.0147 0.0018
#> 24 0.0635 0.0465 0.0422 0.0174 0.0681 0.0172 0.0134 0.0141 0.0191 0.0145
#> 25 0.0695 0.0598 0.0456 0.0021 0.0679 0.0068 0.0036 0.0022 0.0032 0.0060
#> 26 0.0580 0.0319 0.0301 0.0272 0.0180 0.0074 0.0149 0.0125 0.0134 0.0026
#> 27 0.0213 0.0354 0.0420 0.0093 0.0249 0.0204 0.0199 0.0173 0.0163 0.0055
#> 28 0.0791 0.0365 0.0152 0.0085 0.0260 0.0120 0.0022 0.0069 0.0064 0.0129
#> 29 0.1910 0.1096 0.0300 0.0171 0.0121 0.0383 0.0053 0.0090 0.0042 0.0153
#> 30 0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> 31 0.0442 0.0663 0.0418 0.0475 0.0496 0.0235 0.0066 0.0062 0.0129 0.0184
#> 32 0.1136 0.1034 0.0688 0.0422 0.1570 0.0117 0.0070 0.0167 0.0127 0.0138
#> 33 0.2518 0.1482 0.0988 0.0317 0.0179 0.0269 0.0066 0.0008 0.0045 0.0024
#> 34 0.1124 0.0651 0.0789 0.0325 0.0333 0.0070 0.0026 0.0093 0.0118 0.0112
#> 35 0.2193 0.1316 0.1078 0.0559 0.0370 0.0035 0.0098 0.0163 0.0242 0.0043
#> 36 0.0138 0.0469 0.0480 0.0159 0.0586 0.0045 0.0015 0.0052 0.0038 0.0079
#> 37 0.1044 0.1225 0.0745 0.0490 0.0547 0.0224 0.0032 0.0076 0.0045 0.0056
#> 38 0.0815 0.1117 0.0950 0.0412 0.0097 0.0120 0.0048 0.0049 0.0041 0.0036
#> 39 0.0978 0.0452 0.0273 0.0179 0.0608 0.0092 0.0018 0.0052 0.0049 0.0096
#> 40 0.0505 0.0247 0.0219 0.0102 0.0362 0.0047 0.0019 0.0041 0.0074 0.0030
#> 41 0.0278 0.0179 0.0114 0.0073 0.0525 0.0116 0.0092 0.0078 0.0041 0.0013
#> 42 0.0473 0.0408 0.0290 0.0192 0.0561 0.0094 0.0025 0.0037 0.0084 0.0102
#> 43 0.0687 0.0602 0.0561 0.0306 0.0197 0.0154 0.0029 0.0048 0.0023 0.0020
#> 44 0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> 45 0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> 46 0.2414 0.1077 0.0224 0.0155 0.0391 0.0187 0.0125 0.0028 0.0067 0.0120
#> 47 0.0670 0.0342 0.0469 0.0357 0.0357 0.0136 0.0082 0.0140 0.0044 0.0052
#> 48 0.0965 0.0381 0.0435 0.0336 0.0530 0.0055 0.0079 0.0119 0.0055 0.0035
#> 49 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> 50 0.0025 0.0327 0.0257 0.0182 0.0679 0.0108 0.0124 0.0077 0.0023 0.0117
#> 51 0.0391 0.0546 0.0469 0.0201 0.0657 0.0095 0.0155 0.0091 0.0151 0.0080
#> 52 0.0505 0.0949 0.0677 0.0259 0.0794 0.0170 0.0033 0.0150 0.0111 0.0032
#> 53 0.0210 0.0509 0.0387 0.0262 0.0752 0.0101 0.0161 0.0029 0.0078 0.0114
#> 54 0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> 55 0.1700 0.1829 0.1403 0.0506 0.1081 0.0224 0.0095 0.0031 0.0103 0.0078
#> 56 0.2200 0.2198 0.1074 0.0423 0.1787 0.0162 0.0093 0.0046 0.0044 0.0078
#> 57 0.1704 0.1587 0.1792 0.1022 0.1130 0.0151 0.0223 0.0110 0.0071 0.0205
#> 58 0.1886 0.1960 0.1701 0.1366 0.0249 0.0398 0.0143 0.0093 0.0033 0.0113
#> 59 0.2798 0.2392 0.2021 0.1326 0.0385 0.0358 0.0128 0.0172 0.0138 0.0079
#> 60 0.0729 0.1190 0.1297 0.0748 0.1129 0.0067 0.0255 0.0113 0.0108 0.0085
#> 61 0.0660 0.0491 0.0345 0.0172 0.1072 0.0287 0.0027 0.0208 0.0048 0.0199
#> 62 0.0933 0.1018 0.0309 0.0208 0.0352 0.0318 0.0132 0.0118 0.0120 0.0051
#> 63 0.0473 0.0322 0.0408 0.0163 0.0067 0.0088 0.0121 0.0067 0.0032 0.0109
#> 64 0.0606 0.0692 0.0446 0.0344 0.0434 0.0082 0.0108 0.0149 0.0077 0.0036
#> 65 0.0374 0.0990 0.0956 0.0317 0.0421 0.0142 0.0076 0.0223 0.0255 0.0145
#> 66 0.2438 0.1789 0.1706 0.0762 0.1772 0.0238 0.0268 0.0081 0.0129 0.0161
#> 67 0.2246 0.1921 0.1500 0.0665 0.4010 0.0193 0.0156 0.0362 0.0210 0.0154
#> 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 0.0443 0.0264 0.0223 0.0187 0.0645 0.0077 0.0137 0.0071 0.0082 0.0232
#> 72 0.0576 0.0672 0.0269 0.0245 0.0611 0.0190 0.0063 0.0321 0.0189 0.0137
#> 73 0.1117 0.1303 0.0787 0.0436 0.0835 0.0224 0.0133 0.0078 0.0174 0.0176
#> 74 0.1688 0.1991 0.1217 0.0628 0.1043 0.0323 0.0253 0.0214 0.0262 0.0177
#> 75 0.1299 0.0523 0.0817 0.0469 0.3225 0.0114 0.0299 0.0244 0.0199 0.0257
#> 76 0.0919 0.0882 0.0228 0.0380 0.1397 0.0142 0.0137 0.0120 0.0042 0.0238
#> 77 0.1111 0.0655 0.0271 0.0244 0.0839 0.0179 0.0109 0.0147 0.0170 0.0158
#> 78 0.0369 0.0805 0.0541 0.0177 0.0419 0.0065 0.0222 0.0045 0.0136 0.0113
#> 79 0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> 80 0.1199 0.0959 0.0765 0.0649 0.1117 0.0313 0.0185 0.0098 0.0178 0.0077
#> 81 0.1177 0.0779 0.0495 0.0492 0.1409 0.0194 0.0250 0.0115 0.0190 0.0055
#> 82 0.0307 0.0373 0.0606 0.0399 0.1364 0.0169 0.0135 0.0222 0.0175 0.0127
#> 83 0.1216 0.1013 0.0744 0.0386 0.0432 0.0050 0.0146 0.0040 0.0122 0.0107
#> 84 0.0768 0.1070 0.0946 0.0636 0.0630 0.0227 0.0128 0.0173 0.0135 0.0114
#> 85 0.0779 0.1344 0.0960 0.0598 0.0822 0.0330 0.0197 0.0189 0.0204 0.0085
#> 86 0.1433 0.0624 0.0100 0.0098 0.1267 0.0131 0.0152 0.0255 0.0071 0.0263
#> 87 0.0676 0.0899 0.0927 0.0658 0.0862 0.0086 0.0216 0.0153 0.0121 0.0096
#> 88 0.1395 0.1065 0.0527 0.0395 0.0255 0.0183 0.0353 0.0118 0.0063 0.0237
#> 89 0.1062 0.0643 0.0532 0.0531 0.1776 0.0272 0.0171 0.0118 0.0129 0.0344
#> 90 0.1483 0.0434 0.0627 0.0513 0.2252 0.0473 0.0248 0.0274 0.0205 0.0141
#> 91 0.4232 0.2340 0.1928 0.1092 0.0232 0.0507 0.0228 0.0099 0.0065 0.0085
#> 92 0.3067 0.1329 0.1349 0.1057 0.0617 0.0499 0.0206 0.0073 0.0081 0.0303
#> 93 0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> 94 0.3097 0.1578 0.0553 0.0334 0.0748 0.0209 0.0172 0.0180 0.0110 0.0234
#> 95 0.1806 0.1699 0.2559 0.1129 0.0403 0.0201 0.0480 0.0234 0.0175 0.0352
#> 96 0.4305 0.0945 0.0794 0.0274 0.1276 0.0154 0.0140 0.0455 0.0213 0.0082
#> 97 0.0138 0.1164 0.2052 0.1069 0.0165 0.0199 0.0208 0.0176 0.0197 0.0210
#> 98 0.5777 0.4315 0.2640 0.1794 0.0646 0.0772 0.0798 0.0376 0.0143 0.0272
#> 99 0.5692 0.2630 0.1196 0.0983 0.1693 0.0374 0.0291 0.0156 0.0197 0.0135
#> 100 0.5123 0.3385 0.1499 0.0546 0.0246 0.0270 0.0380 0.0339 0.0149 0.0335
#> 101 0.5649 0.3195 0.2484 0.1299 0.2482 0.0825 0.0243 0.0210 0.0361 0.0239
#> 102 0.0734 0.0805 0.0608 0.0565 0.1284 0.0286 0.0154 0.0154 0.0156 0.0054
#> 103 0.0303 0.0674 0.0785 0.0455 0.0410 0.0246 0.0151 0.0125 0.0036 0.0123
#> 104 0.1787 0.1112 0.0398 0.0305 0.0915 0.0084 0.0039 0.0053 0.0029 0.0020
#> 105 0.0765 0.0727 0.0749 0.0449 0.0711 0.0134 0.0174 0.0117 0.0023 0.0047
#> 106 0.3196 0.2241 0.1806 0.0990 0.0883 0.0251 0.0129 0.0095 0.0126 0.0069
#> 107 0.4042 0.3123 0.2232 0.1085 0.0724 0.0414 0.0253 0.0131 0.0049 0.0104
#> 108 0.1790 0.1689 0.1341 0.0769 0.0484 0.0222 0.0205 0.0123 0.0067 0.0011
#> 109 0.0785 0.1052 0.1034 0.0764 0.0519 0.0216 0.0167 0.0089 0.0051 0.0015
#> 110 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> 111 0.2226 0.0849 0.0359 0.0289 0.0515 0.0122 0.0045 0.0108 0.0075 0.0089
#> 112 0.1714 0.0694 0.0303 0.0292 0.0428 0.0116 0.0024 0.0084 0.0100 0.0018
#> 113 0.1211 0.0883 0.0850 0.0355 0.0596 0.0219 0.0086 0.0123 0.0060 0.0187
#> 114 0.0825 0.0618 0.0141 0.0108 0.1158 0.0124 0.0104 0.0095 0.0151 0.0059
#> 115 0.2581 0.1319 0.0505 0.0112 0.0497 0.0059 0.0041 0.0056 0.0104 0.0079
#> 116 0.1423 0.0390 0.0406 0.0311 0.0185 0.0086 0.0154 0.0048 0.0025 0.0087
#> 117 0.1294 0.0797 0.0052 0.0233 0.0397 0.0152 0.0125 0.0054 0.0057 0.0137
#> 118 0.0691 0.0781 0.0777 0.0369 0.0251 0.0057 0.0091 0.0134 0.0097 0.0042
#> 119 0.0566 0.0766 0.0969 0.0588 0.0597 0.0050 0.0118 0.0146 0.0040 0.0114
#> 120 0.3593 0.2526 0.2299 0.1271 0.1070 0.0356 0.0367 0.0176 0.0035 0.0093
#> 121 0.2216 0.1401 0.1888 0.0947 0.0887 0.0134 0.0310 0.0237 0.0078 0.0144
#> 122 0.0920 0.1227 0.1785 0.1085 0.1313 0.0300 0.0346 0.0167 0.0199 0.0145
#> 123 0.2187 0.1840 0.1477 0.0971 0.0759 0.0224 0.0151 0.0105 0.0024 0.0018
#> 124 0.1092 0.1485 0.1385 0.0716 0.0224 0.0176 0.0199 0.0096 0.0103 0.0093
#> 125 0.1883 0.1954 0.1492 0.0511 0.0462 0.0155 0.0189 0.0150 0.0060 0.0082
#> 126 0.1665 0.1807 0.1245 0.0516 0.0936 0.0044 0.0185 0.0072 0.0055 0.0074
#> 127 0.1940 0.1937 0.1082 0.0336 0.0537 0.0177 0.0209 0.0134 0.0094 0.0047
#> 128 0.2283 0.1818 0.1185 0.0546 0.0767 0.0219 0.0204 0.0124 0.0093 0.0072
#> 129 0.2265 0.1766 0.1097 0.0558 0.0958 0.0142 0.0281 0.0165 0.0056 0.0010
#> 130 0.1985 0.1570 0.0921 0.0549 0.0596 0.0194 0.0166 0.0132 0.0027 0.0022
#> 131 0.2047 0.1716 0.1069 0.0477 0.0788 0.0170 0.0186 0.0096 0.0071 0.0084
#> 132 0.2335 0.1964 0.1300 0.0633 0.0721 0.0183 0.0137 0.0150 0.0076 0.0032
#> 133 0.2012 0.1688 0.1037 0.0501 0.0529 0.0136 0.0130 0.0120 0.0039 0.0053
#> 134 0.0581 0.0641 0.1044 0.0732 0.1127 0.0275 0.0146 0.0091 0.0045 0.0043
#> 135 0.1085 0.1521 0.1363 0.0858 0.0393 0.0290 0.0203 0.0116 0.0098 0.0199
#> 136 0.0080 0.0790 0.1255 0.0647 0.0760 0.0179 0.0051 0.0061 0.0093 0.0135
#> 137 0.0757 0.1059 0.1005 0.0535 0.0351 0.0235 0.0155 0.0160 0.0029 0.0051
#> 138 0.0985 0.1258 0.0954 0.0489 0.0167 0.0241 0.0042 0.0086 0.0046 0.0126
#> 139 0.1470 0.0991 0.0041 0.0154 0.0214 0.0116 0.0181 0.0146 0.0129 0.0047
#> 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 0.0085 0.0073 0.0050 0.0044 0.0040 0.0368 0.0117 0.1098 0.1276 0.0598
#> 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 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> 7 0.0084 0.0068 0.0032 0.0035 0.0056 0.0671 0.0040 0.1056 0.0697 0.0962
#> 8 0.0056 0.0093 0.0042 0.0003 0.0053 0.0284 0.0036 0.0396 0.0272 0.0323
#> 9 0.0074 0.0118 0.0026 0.0092 0.0009 0.0102 0.0044 0.0182 0.0579 0.1122
#> 10 0.0080 0.0152 0.0158 0.0053 0.0189 0.1589 0.0102 0.1392 0.0987 0.0955
#> 11 0.0212 0.0076 0.0152 0.0049 0.0200 0.2294 0.0073 0.2176 0.2033 0.1459
#> 12 0.0109 0.0048 0.0095 0.0015 0.0073 0.1185 0.0067 0.1683 0.1541 0.1466
#> 13 0.0108 0.0024 0.0045 0.0037 0.0112 0.0809 0.0075 0.0568 0.0219 0.1037
#> 14 0.0121 0.0006 0.0181 0.0094 0.0116 0.2559 0.0063 0.2947 0.4110 0.4983
#> 15 0.0042 0.0054 0.0049 0.0082 0.0028 0.3070 0.0027 0.3008 0.2362 0.3830
#> 16 0.0036 0.0026 0.0024 0.0162 0.0109 0.0771 0.0079 0.0771 0.1130 0.2353
#> 17 0.0202 0.0139 0.0029 0.0160 0.0106 0.1077 0.0134 0.2363 0.2385 0.0075
#> 18 0.0064 0.0026 0.0029 0.0037 0.0070 0.1058 0.0041 0.1023 0.0440 0.0931
#> 19 0.0128 0.0054 0.0011 0.0019 0.0023 0.1734 0.0062 0.1679 0.1119 0.0889
#> 20 0.0075 0.0124 0.0099 0.0057 0.0032 0.0526 0.0019 0.0688 0.0633 0.0624
#> 21 0.0203 0.0089 0.0095 0.0095 0.0021 0.0571 0.0053 0.1004 0.0668 0.0691
#> 22 0.0188 0.0101 0.0229 0.0182 0.0046 0.0200 0.0038 0.0981 0.1016 0.2025
#> 23 0.0100 0.0096 0.0077 0.0180 0.0109 0.1432 0.0070 0.1344 0.2041 0.1571
#> 24 0.0065 0.0129 0.0217 0.0087 0.0077 0.0706 0.0122 0.1020 0.0893 0.0381
#> 25 0.0054 0.0063 0.0143 0.0132 0.0051 0.0981 0.0041 0.0843 0.1172 0.0759
#> 26 0.0038 0.0018 0.0113 0.0058 0.0047 0.0492 0.0071 0.0033 0.0398 0.0791
#> 27 0.0045 0.0068 0.0041 0.0052 0.0194 0.0637 0.0105 0.0422 0.1130 0.1911
#> 28 0.0114 0.0054 0.0089 0.0050 0.0058 0.0458 0.0025 0.0470 0.0057 0.0425
#> 29 0.0106 0.0020 0.0105 0.0049 0.0070 0.0438 0.0080 0.1299 0.1390 0.0695
#> 30 0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> 31 0.0069 0.0198 0.0199 0.0102 0.0070 0.1817 0.0055 0.1178 0.1024 0.0583
#> 32 0.0090 0.0051 0.0029 0.0122 0.0056 0.1750 0.0020 0.0920 0.1353 0.1593
#> 33 0.0006 0.0073 0.0096 0.0054 0.0085 0.0733 0.0060 0.0841 0.1031 0.0993
#> 34 0.0094 0.0140 0.0072 0.0022 0.0055 0.0690 0.0122 0.0901 0.1454 0.0740
#> 35 0.0202 0.0108 0.0037 0.0096 0.0093 0.0792 0.0053 0.1083 0.0687 0.0298
#> 36 0.0114 0.0050 0.0030 0.0064 0.0058 0.0682 0.0030 0.0993 0.0717 0.0576
#> 37 0.0075 0.0037 0.0045 0.0029 0.0008 0.0208 0.0018 0.0891 0.0836 0.1335
#> 38 0.0013 0.0046 0.0037 0.0011 0.0034 0.0391 0.0033 0.0857 0.0915 0.0949
#> 39 0.0134 0.0122 0.0047 0.0018 0.0006 0.1026 0.0023 0.1139 0.0877 0.1160
#> 40 0.0050 0.0048 0.0017 0.0041 0.0086 0.0696 0.0058 0.0873 0.0616 0.1252
#> 41 0.0011 0.0045 0.0039 0.0022 0.0023 0.0778 0.0016 0.0931 0.0941 0.1711
#> 42 0.0096 0.0024 0.0037 0.0028 0.0030 0.0929 0.0030 0.1031 0.0883 0.1596
#> 43 0.0040 0.0019 0.0034 0.0034 0.0051 0.0618 0.0031 0.0432 0.0951 0.0836
#> 44 0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> 45 0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#> 46 0.0012 0.0022 0.0058 0.0042 0.0067 0.0249 0.0012 0.0892 0.0973 0.0840
#> 47 0.0073 0.0021 0.0047 0.0024 0.0009 0.0785 0.0017 0.0906 0.0908 0.1151
#> 48 0.0036 0.0004 0.0018 0.0049 0.0024 0.1197 0.0016 0.1243 0.1026 0.1239
#> 49 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> 50 0.0053 0.0077 0.0076 0.0056 0.0055 0.0863 0.0039 0.1004 0.0664 0.0941
#> 51 0.0018 0.0078 0.0045 0.0026 0.0036 0.0742 0.0024 0.1380 0.1099 0.1384
#> 52 0.0035 0.0169 0.0137 0.0015 0.0069 0.0804 0.0051 0.1136 0.1228 0.1235
#> 53 0.0083 0.0058 0.0003 0.0023 0.0026 0.0887 0.0027 0.1015 0.0494 0.0472
#> 54 0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> 55 0.0077 0.0094 0.0031 0.0030 0.0013 0.1164 0.0069 0.1398 0.1009 0.1147
#> 56 0.0102 0.0065 0.0061 0.0062 0.0043 0.1635 0.0053 0.0887 0.0817 0.1779
#> 57 0.0164 0.0063 0.0078 0.0094 0.0110 0.1306 0.0068 0.2112 0.2268 0.2992
#> 58 0.0030 0.0057 0.0090 0.0057 0.0068 0.0488 0.0024 0.1424 0.1972 0.1873
#> 59 0.0037 0.0051 0.0258 0.0102 0.0037 0.0534 0.0037 0.2140 0.3110 0.2837
#> 60 0.0047 0.0074 0.0104 0.0161 0.0220 0.0973 0.0173 0.1823 0.1745 0.1440
#> 61 0.0126 0.0022 0.0037 0.0034 0.0114 0.2587 0.0077 0.2304 0.2067 0.3416
#> 62 0.0070 0.0015 0.0035 0.0008 0.0044 0.0701 0.0077 0.1263 0.1080 0.1523
#> 63 0.0164 0.0151 0.0070 0.0085 0.0117 0.0890 0.0056 0.1798 0.1741 0.1598
#> 64 0.0114 0.0085 0.0101 0.0016 0.0028 0.1224 0.0014 0.1947 0.1661 0.1368
#> 65 0.0233 0.0041 0.0018 0.0048 0.0089 0.0473 0.0085 0.0361 0.0741 0.1398
#> 66 0.0063 0.0119 0.0194 0.0140 0.0332 0.1908 0.0439 0.2217 0.0768 0.1246
#> 67 0.0180 0.0013 0.0106 0.0127 0.0178 0.1791 0.0231 0.1853 0.0055 0.1929
#> 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 0.0198 0.0074 0.0035 0.0100 0.0048 0.0472 0.0019 0.1056 0.1388 0.0598
#> 72 0.0277 0.0152 0.0052 0.0121 0.0124 0.0577 0.0055 0.0665 0.0664 0.1460
#> 73 0.0038 0.0129 0.0066 0.0044 0.0134 0.0756 0.0092 0.0374 0.0961 0.0548
#> 74 0.0037 0.0068 0.0121 0.0077 0.0078 0.0783 0.0066 0.1417 0.1176 0.0453
#> 75 0.0082 0.0151 0.0171 0.0146 0.0134 0.2247 0.0056 0.0617 0.2287 0.0950
#> 76 0.0129 0.0084 0.0218 0.0321 0.0154 0.1493 0.0053 0.1487 0.0771 0.1171
#> 77 0.0046 0.0073 0.0054 0.0033 0.0045 0.1673 0.0079 0.1154 0.1098 0.1370
#> 78 0.0053 0.0165 0.0141 0.0077 0.0246 0.1215 0.0198 0.2002 0.1516 0.0818
#> 79 0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> 80 0.0074 0.0095 0.0055 0.0045 0.0063 0.1506 0.0039 0.1776 0.0997 0.1428
#> 81 0.0096 0.0050 0.0066 0.0114 0.0073 0.1916 0.0033 0.1349 0.1613 0.1703
#> 82 0.0022 0.0124 0.0054 0.0021 0.0028 0.1513 0.0023 0.1316 0.1654 0.1864
#> 83 0.0112 0.0102 0.0052 0.0024 0.0079 0.0735 0.0031 0.0938 0.1134 0.1228
#> 84 0.0062 0.0157 0.0088 0.0036 0.0053 0.0921 0.0030 0.1368 0.1078 0.1552
#> 85 0.0043 0.0092 0.0138 0.0094 0.0105 0.1256 0.0093 0.1323 0.1584 0.2017
#> 86 0.0079 0.0111 0.0107 0.0068 0.0097 0.1515 0.0067 0.2134 0.2613 0.2832
#> 87 0.0196 0.0042 0.0066 0.0099 0.0083 0.1801 0.0124 0.1916 0.1896 0.2960
#> 88 0.0032 0.0087 0.0124 0.0113 0.0098 0.1422 0.0126 0.2072 0.2734 0.3070
#> 89 0.0065 0.0067 0.0022 0.0079 0.0146 0.1428 0.0051 0.1773 0.2161 0.1630
#> 90 0.0185 0.0055 0.0045 0.0115 0.0152 0.2611 0.0100 0.2061 0.1668 0.1801
#> 91 0.0166 0.0110 0.0190 0.0141 0.0068 0.1267 0.0086 0.2417 0.2661 0.4346
#> 92 0.0190 0.0212 0.0126 0.0201 0.0210 0.1207 0.0041 0.0944 0.4223 0.5744
#> 93 0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> 94 0.0276 0.0032 0.0084 0.0122 0.0082 0.1125 0.0143 0.3322 0.4590 0.5526
#> 95 0.0158 0.0326 0.0201 0.0168 0.0245 0.1227 0.0154 0.2495 0.4566 0.6587
#> 96 0.0124 0.0167 0.0103 0.0205 0.0178 0.1731 0.0187 0.1948 0.4262 0.6828
#> 97 0.0141 0.0049 0.0027 0.0162 0.0059 0.0277 0.0021 0.0569 0.2057 0.3887
#> 98 0.0127 0.0166 0.0095 0.0225 0.0098 0.1124 0.0085 0.1787 0.2407 0.2682
#> 99 0.0127 0.0138 0.0133 0.0131 0.0154 0.0844 0.0218 0.0715 0.0947 0.1583
#> 100 0.0376 0.0174 0.0132 0.0103 0.0364 0.1022 0.0208 0.0539 0.0439 0.2291
#> 101 0.0447 0.0394 0.0355 0.0440 0.0243 0.1257 0.0098 0.1797 0.0989 0.2460
#> 102 0.0030 0.0048 0.0087 0.0101 0.0095 0.1165 0.0068 0.1285 0.1684 0.1830
#> 103 0.0043 0.0114 0.0052 0.0091 0.0008 0.0116 0.0092 0.0223 0.0805 0.2365
#> 104 0.0013 0.0029 0.0020 0.0062 0.0026 0.1267 0.0052 0.1577 0.1927 0.2361
#> 105 0.0049 0.0031 0.0024 0.0039 0.0051 0.1563 0.0015 0.1518 0.1206 0.1666
#> 106 0.0039 0.0068 0.0060 0.0045 0.0002 0.1278 0.0029 0.1674 0.1373 0.2922
#> 107 0.0102 0.0092 0.0083 0.0020 0.0048 0.0833 0.0036 0.1232 0.1298 0.2085
#> 108 0.0026 0.0049 0.0029 0.0022 0.0022 0.0526 0.0032 0.0773 0.0862 0.1451
#> 109 0.0075 0.0058 0.0016 0.0070 0.0074 0.0849 0.0038 0.0812 0.1833 0.2228
#> 110 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> 111 0.0036 0.0029 0.0013 0.0010 0.0032 0.0817 0.0047 0.1005 0.0124 0.1168
#> 112 0.0035 0.0058 0.0011 0.0009 0.0033 0.0349 0.0026 0.0384 0.0446 0.1318
#> 113 0.0111 0.0126 0.0081 0.0155 0.0160 0.0808 0.0085 0.2090 0.3465 0.5276
#> 114 0.0015 0.0053 0.0016 0.0042 0.0053 0.1482 0.0074 0.2054 0.1605 0.2532
#> 115 0.0014 0.0054 0.0015 0.0006 0.0081 0.0998 0.0043 0.1326 0.1117 0.2984
#> 116 0.0072 0.0095 0.0086 0.0085 0.0040 0.1260 0.0051 0.1015 0.1918 0.3362
#> 117 0.0109 0.0035 0.0056 0.0105 0.0082 0.0443 0.0036 0.0684 0.0903 0.1739
#> 118 0.0058 0.0072 0.0041 0.0045 0.0047 0.0629 0.0054 0.0747 0.0578 0.1357
#> 119 0.0032 0.0062 0.0101 0.0068 0.0053 0.1416 0.0087 0.0956 0.0802 0.1618
#> 120 0.0121 0.0075 0.0056 0.0021 0.0043 0.0973 0.0017 0.0961 0.1323 0.2462
#> 121 0.0170 0.0012 0.0109 0.0036 0.0043 0.0932 0.0018 0.0955 0.2140 0.2546
#> 122 0.0081 0.0045 0.0043 0.0027 0.0055 0.2103 0.0057 0.2263 0.2524 0.3595
#> 123 0.0057 0.0092 0.0009 0.0086 0.0110 0.0679 0.0052 0.0970 0.1473 0.2164
#> 124 0.0025 0.0044 0.0021 0.0069 0.0060 0.0845 0.0018 0.1488 0.1224 0.1569
#> 125 0.0091 0.0038 0.0056 0.0056 0.0048 0.0779 0.0024 0.1365 0.0780 0.1038
#> 126 0.0068 0.0084 0.0037 0.0024 0.0034 0.1146 0.0007 0.0706 0.0996 0.1673
#> 127 0.0045 0.0042 0.0028 0.0036 0.0013 0.0874 0.0016 0.1021 0.0852 0.1136
#> 128 0.0019 0.0027 0.0054 0.0017 0.0024 0.0787 0.0029 0.0662 0.1108 0.1777
#> 129 0.0027 0.0062 0.0024 0.0063 0.0017 0.0830 0.0028 0.0879 0.1220 0.1977
#> 130 0.0059 0.0016 0.0025 0.0017 0.0027 0.0252 0.0027 0.0958 0.0991 0.1419
#> 131 0.0038 0.0026 0.0028 0.0013 0.0035 0.0766 0.0060 0.0881 0.1143 0.1594
#> 132 0.0037 0.0071 0.0040 0.0009 0.0015 0.1341 0.0085 0.1626 0.1902 0.2610
#> 133 0.0062 0.0046 0.0045 0.0022 0.0005 0.1091 0.0031 0.1709 0.1684 0.1865
#> 134 0.0043 0.0098 0.0054 0.0051 0.0065 0.1103 0.0103 0.1349 0.2337 0.3113
#> 135 0.0033 0.0101 0.0065 0.0115 0.0193 0.1630 0.0157 0.2028 0.1694 0.2328
#> 136 0.0063 0.0063 0.0034 0.0032 0.0062 0.0958 0.0067 0.0990 0.1018 0.1030
#> 137 0.0062 0.0089 0.0140 0.0138 0.0077 0.1171 0.0031 0.1257 0.1178 0.1258
#> 138 0.0036 0.0035 0.0034 0.0079 0.0036 0.1354 0.0048 0.1465 0.1123 0.1945
#> 139 0.0039 0.0061 0.0040 0.0036 0.0061 0.0338 0.0115 0.0655 0.1400 0.1843
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#> [38] 1 1 0 0 1 1 1 1 0 1 1 0 0 1 1 1 1 1 1 1 1 0 1 0 1 0 0 1 0 0 0 1 1 0 1 1 1
#> [75] 1 0 0 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 0 1 0 1 0 1 1 0 1 1 1 0 1 1 0 1 0 0 1
#> [112] 1 1 1 0 1 1 1 1 1 1 0 1 1 1 0 0 1 0 1 1 1 0 0 1 1 0 0 1
#>
#> $weights[[39]]
#> [1] 1 0 0 1 1 0 0 0 1 1 1 1 0 0 1 1 1 1 1 1 0 1 0 1 1 0 0 0 1 1 1 1 0 0 1 1 1
#> [38] 0 1 0 1 1 1 1 1 1 1 0 1 0 1 0 1 0 1 1 0 0 1 1 0 1 1 0 1 1 1 0 1 1 0 1 1 1
#> [75] 1 1 0 1 0 1 1 0 0 1 1 0 0 0 1 1 1 1 1 1 0 1 0 1 0 1 0 1 1 0 0 1 0 1 0 0 1
#> [112] 0 0 1 1 0 0 1 0 1 1 1 0 1 1 0 1 1 1 1 1 1 1 1 1 0 1 0 0
#>
#> $weights[[40]]
#> [1] 1 1 1 1 1 1 0 1 1 1 1 1 0 0 1 1 1 0 1 0 1 1 1 0 0 1 1 1 0 1 1 0 1 0 1 0 0
#> [38] 0 1 0 1 1 1 1 1 0 1 0 0 0 1 0 0 1 1 1 1 1 0 0 1 0 1 1 1 0 1 0 1 1 1 1 1 0
#> [75] 1 1 0 0 1 1 0 1 1 1 1 1 0 1 0 0 1 0 1 1 1 0 0 0 1 1 0 1 0 1 1 0 1 1 0 1 1
#> [112] 1 0 1 1 0 0 0 0 1 0 1 1 0 0 0 0 1 1 1 0 1 1 1 0 1 1 1 1
#>
#> $weights[[41]]
#> [1] 0 0 1 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 0 1 0 1 1 1 0 1
#> [38] 1 1 0 0 0 0 0 0 0 0 0 0 1 0 0 1 0 1 0 1 1 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0
#> [75] 1 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 0 0 1 1 0 0 1 1 0 1 1 1 0 1 1 1 1 0 0
#> [112] 0 0 1 0 1 1 1 1 0 0 1 0 1 0 1 1 0 1 0 1 0 1 1 1 1 0 1 0
#>
#> $weights[[42]]
#> [1] 1 0 1 0 1 1 1 1 1 0 1 1 0 1 1 1 0 1 1 1 0 1 0 1 1 1 0 1 1 0 1 1 1 1 0 0 1
#> [38] 1 1 1 0 0 0 1 0 1 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 1 1 1 0 0 1 0 1 1 1 0 0 1
#> [75] 1 1 0 1 0 0 0 0 1 1 1 1 0 0 1 0 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 0 1 0 0 0 1
#> [112] 1 1 1 0 1 1 1 1 0 1 0 1 1 1 1 1 0 1 0 1 1 0 0 1 1 1 0 0
#>
#> $weights[[43]]
#> [1] 1 1 1 0 1 0 1 1 0 1 1 1 0 1 0 1 0 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 1 0 1 0
#> [38] 1 1 0 1 1 1 0 1 1 0 0 1 1 1 0 1 1 1 1 1 0 1 0 1 0 0 1 0 0 1 1 1 1 0 1 1 0
#> [75] 0 0 0 1 1 1 1 1 0 1 0 1 1 1 1 1 0 1 1 0 0 0 1 0 0 0 1 1 1 1 0 1 0 1 0 1 1
#> [112] 0 1 1 1 1 1 1 1 0 0 1 1 0 0 1 1 0 1 0 1 0 1 1 0 0 1 0 1
#>
#> $weights[[44]]
#> [1] 1 1 0 0 1 1 1 1 1 0 1 0 1 0 0 1 0 1 0 1 1 0 1 1 1 0 1 1 1 1 1 1 1 1 1 1 0
#> [38] 1 1 0 1 1 0 1 1 1 1 0 1 1 1 0 1 0 0 1 0 1 1 1 1 1 0 0 1 0 1 1 1 0 1 1 1 1
#> [75] 0 1 0 0 1 1 1 0 1 0 0 0 1 0 0 1 1 1 1 1 0 0 0 1 1 1 1 0 0 1 1 0 0 1 0 0 0
#> [112] 1 1 0 1 1 0 0 0 1 1 1 0 1 1 1 0 1 0 0 0 1 1 0 1 1 0 1 1
#>
#> $weights[[45]]
#> [1] 1 1 0 0 1 0 1 1 1 1 0 1 0 0 0 1 0 1 1 0 1 0 0 1 0 1 0 0 1 1 1 1 1 1 0 1 0
#> [38] 0 0 1 0 1 1 1 1 1 1 1 0 0 0 0 1 1 1 1 1 1 1 1 0 0 0 1 0 0 1 0 0 0 0 1 0 1
#> [75] 0 1 1 1 1 1 1 0 1 1 0 0 1 1 0 1 1 0 1 0 1 0 1 0 1 1 1 1 1 0 1 1 1 1 0 1 1
#> [112] 1 0 1 0 1 1 1 1 1 0 1 1 0 1 0 1 1 1 0 1 0 1 1 1 1 1 1 0
#>
#> $weights[[46]]
#> [1] 1 0 0 0 1 1 1 1 1 1 1 1 1 0 1 0 0 1 1 1 1 0 1 1 0 1 0 0 0 0 1 1 1 1 1 0 1
#> [38] 1 1 1 0 1 0 1 1 1 0 1 1 1 1 0 0 1 1 1 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1 0 0 0
#> [75] 1 1 1 1 1 1 1 1 1 0 0 1 1 1 1 0 1 0 0 1 1 0 0 1 0 0 1 1 0 0 1 1 1 1 1 0 0
#> [112] 1 0 0 1 0 0 1 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 1 0 0 1 1 1
#>
#> $weights[[47]]
#> [1] 0 1 1 1 1 1 1 1 0 0 1 0 0 0 0 1 1 1 1 0 1 1 1 1 1 0 1 1 0 1 1 1 1 1 0 1 1
#> [38] 0 1 1 0 0 1 1 1 0 0 1 0 0 0 1 1 1 1 1 1 1 0 1 1 1 1 1 0 0 0 0 1 1 0 1 1 1
#> [75] 0 1 1 1 0 0 1 0 1 0 1 1 0 0 1 1 0 1 0 0 1 0 1 0 1 0 1 0 0 1 1 1 1 1 1 1 0
#> [112] 0 0 0 0 1 0 0 1 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 1 0 1 1 0
#>
#> $weights[[48]]
#> [1] 0 1 1 1 1 1 0 0 1 1 1 1 0 1 1 1 0 0 1 0 0 1 0 1 0 1 0 1 1 1 1 1 0 0 0 1 0
#> [38] 0 0 1 1 1 1 0 1 1 1 1 1 1 0 0 1 1 1 0 1 0 1 1 1 1 1 0 1 0 1 1 1 0 1 1 1 1
#> [75] 0 1 1 0 0 0 1 0 1 1 1 1 1 0 0 1 1 1 1 1 0 0 1 1 1 0 1 1 1 0 1 0 0 1 1 0 0
#> [112] 1 0 1 0 1 1 0 0 0 1 0 1 0 1 1 1 0 1 0 1 1 0 0 1 0 1 1 1
#>
#> $weights[[49]]
#> [1] 1 1 0 1 1 1 1 1 0 1 0 1 1 1 1 1 1 0 1 1 1 0 0 0 0 0 0 0 0 0 1 1 1 0 0 1 0
#> [38] 1 1 1 1 1 1 1 1 1 1 1 0 0 0 0 0 1 1 1 1 0 0 0 1 1 0 0 0 1 0 1 0 0 0 1 1 0
#> [75] 1 1 1 1 1 1 1 1 1 1 1 0 1 1 0 1 1 1 1 1 1 0 0 1 0 1 1 0 0 1 0 1 1 0 1 0 1
#> [112] 1 1 1 0 0 0 0 1 0 1 1 0 1 1 1 1 1 0 1 0 0 0 1 1 1 1 1 1
#>
#> $weights[[50]]
#> [1] 0 1 0 1 1 0 0 0 0 0 0 1 0 1 1 1 1 0 0 0 1 0 1 1 1 1 0 0 1 1 1 1 1 1 1 1 0
#> [38] 1 1 1 0 0 1 0 0 1 0 1 1 1 1 0 0 1 0 1 0 0 1 0 1 1 1 0 0 0 1 0 1 1 1 1 1 1
#> [75] 0 1 1 0 0 0 0 0 1 1 1 1 1 1 1 0 1 0 1 0 1 0 0 1 1 1 1 0 1 0 1 1 1 0 1 1 1
#> [112] 1 1 1 0 0 1 1 1 1 1 0 1 0 1 0 1 0 1 1 1 1 0 1 1 1 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 M
#> 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: 0x55cacdd28e60>
#> <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: 0x55cae9221898>
#> <environment: 0x55cae9220cc8>
#>
#> $info$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: 0x55cae9223ac8>
#> <environment: 0x55cae9222ef8>
#>
#> $info$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: 0x55cae9221898>
#> <environment: 0x55cae9222e18>
#>
#> $info$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: 0x55cae9223ac8>
#> <environment: 0x55cae9222cc8>
#>
#> $info$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: 0x55cae5843280>
#> <environment: 0x55cae59c80a8>
#>
#> $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
#> 0.2028986