Deep Neural Network with DBN Pretraining Learner
Source:R/learner_deepnet_classif_dbnDNN.R
mlr_learners_classif.dbnDNN.RdDeep neural network with weights initialized by a deep belief network.
Calls deepnet::dbn.dnn.train() from deepnet.
This learner works with tasks that have at least two features.
Parameters
| Id | Type | Default | Levels | Range |
| hidden | untyped | - | - | |
| activationfun | character | - | sigm, linear, tanh | - |
| learningrate | numeric | - | \([0, \infty)\) | |
| momentum | numeric | - | \([0, \infty)\) | |
| learningrate_scale | numeric | - | \([0, \infty)\) | |
| numepochs | integer | - | \([1, \infty)\) | |
| batchsize | integer | - | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| hidden_dropout | numeric | - | \([0, 1]\) | |
| visible_dropout | numeric | - | \([0, 1]\) | |
| cd | integer | - | \([1, \infty)\) |
References
Rong X (2014). deepnet: Deep Learning Toolkit in R. R package version 0.2.1, https://CRAN.R-project.org/package=deepnet.
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 -> LearnerClassifDbnDNN
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()
LearnerClassifDbnDNN$new()
Creates a new instance of this R6 class.
Usage
LearnerClassifDbnDNN$new()Examples
# Define the Learner
learner = lrn("classif.dbnDNN")
print(learner)
#>
#> ── <LearnerClassifDbnDNN> (classif.dbnDNN): Deep Belief Network DNN ────────────
#> • Model: -
#> • Parameters: hidden=10, activationfun=sigm, learningrate=0.8, momentum=0.5,
#> learningrate_scale=1, numepochs=3, batchsize=100, output=softmax,
#> hidden_dropout=0, visible_dropout=0, cd=1
#> • Packages: mlr3 and deepnet
#> • Predict Types: [response] and prob
#> • Feature Types: integer and numeric
#> • Encapsulation: none (fallback: -)
#> • Properties: multiclass and twoclass
#> • Other settings: use_weights = 'error', 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)
#> begin to train dbn ......
#> training layer 1 rbm ...
#> dbn has been trained.
#> begin to train deep nn ......
#> deep nn has been trained.
print(learner$model)
#> $input_dim
#> [1] 60
#>
#> $output_dim
#> [1] 2
#>
#> $hidden
#> [1] 10
#>
#> $size
#> [1] 60 10 2
#>
#> $activationfun
#> [1] "sigm"
#>
#> $learningrate
#> [1] 0.8
#>
#> $momentum
#> [1] 0.5
#>
#> $learningrate_scale
#> [1] 1
#>
#> $hidden_dropout
#> [1] 0
#>
#> $visible_dropout
#> [1] 0
#>
#> $output
#> [1] "softmax"
#>
#> $W
#> $W[[1]]
#> V1 V10 V11 V12 V13 V14
#> [1,] -0.2789204 -0.04461709 0.03027241 0.01621480 -0.064948602 -0.05491091
#> [2,] -0.3270969 -0.13103468 -0.13773762 -0.01758634 -0.005899274 0.06398895
#> [3,] -0.3151410 -0.07188694 -0.05906718 -0.12297635 -0.048384388 -0.09613798
#> [4,] -0.3542245 -0.21452379 -0.12179330 -0.15372011 -0.007229586 -0.09823104
#> [5,] -0.3640048 -0.04907875 -0.07403749 -0.01861101 -0.029250943 -0.07073942
#> [6,] -0.2329347 -0.20857172 -0.13416358 -0.04533169 -0.134193315 -0.05567475
#> [7,] -0.2769985 -0.02709331 0.00887855 -0.12722760 -0.123487810 -0.05534726
#> [8,] -0.2231235 -0.13057843 -0.18542836 -0.13381521 -0.120543719 -0.01621253
#> [9,] -0.2327536 -0.19816641 -0.13597254 -0.14317956 -0.065673815 -0.04546265
#> [10,] -0.3029618 -0.12216375 -0.02424636 0.01930029 -0.037246528 -0.11540474
#> V15 V16 V17 V18 V19 V2
#> [1,] -0.07545855 0.020532533 -0.020478025 0.03972146 0.15109430 -0.2952362
#> [2,] -0.01512775 0.123733648 0.181838036 0.05526193 0.10374041 -0.2337025
#> [3,] -0.02028498 0.018367080 -0.053223095 0.06547167 -0.04353568 -0.2128294
#> [4,] -0.11688564 -0.050944686 0.035734018 -0.05645234 -0.11055234 -0.3024324
#> [5,] -0.13586708 0.083640302 -0.007003887 0.01371614 0.05963040 -0.2337212
#> [6,] -0.01587801 -0.007358655 -0.093768106 0.03325630 -0.01247646 -0.2807583
#> [7,] -0.09538395 -0.029027136 0.101746522 0.07569613 0.13096805 -0.2346552
#> [8,] 0.13417335 0.144888918 0.077849641 0.20180369 0.09362476 -0.3520178
#> [9,] -0.06822684 -0.044854952 0.059904526 0.16495007 0.14727146 -0.2313308
#> [10,] -0.04029503 -0.140780273 -0.081263955 -0.08872802 0.09569372 -0.3679339
#> V20 V21 V22 V23 V24 V25
#> [1,] 0.090579903 0.05408732 0.13772706 0.12635996 0.03942755 0.17137904
#> [2,] 0.181904409 0.10764663 0.22949799 0.12353852 0.14167413 0.27300097
#> [3,] -0.002034557 0.10304800 0.10584700 0.09860521 0.06678653 0.01438420
#> [4,] 0.045138107 -0.09535950 -0.01574106 0.12210476 -0.02281236 0.13988146
#> [5,] 0.117453601 0.19714303 0.11455395 0.04209726 0.24000825 0.13593359
#> [6,] -0.057762254 -0.03689989 -0.05480583 0.07191728 0.15799603 0.06683234
#> [7,] 0.123036633 0.14271482 0.19121595 0.18739835 0.27205481 0.23257114
#> [8,] 0.080493885 0.18630868 0.11302551 0.16509324 0.02921806 0.03086310
#> [9,] 0.104023377 0.13961178 0.08897495 0.14029288 0.25221133 0.07180843
#> [10,] 0.069431668 0.01875669 0.12248646 0.09344409 0.03183402 0.01778697
#> V26 V27 V28 V29 V3 V30
#> [1,] 0.10557120 0.244130570 0.24096517 0.18980482 -0.3439429 0.169246040
#> [2,] 0.31256199 0.243904148 0.21171145 0.11190746 -0.2788723 0.090289974
#> [3,] 0.03377545 -0.006583658 -0.02622403 0.02209750 -0.3468675 -0.051743656
#> [4,] 0.05131381 -0.018715373 0.13335643 0.14773416 -0.2673452 0.091096379
#> [5,] 0.08226157 0.131832553 0.06562464 0.08969555 -0.1992259 0.054805000
#> [6,] 0.04656302 0.156441845 0.14711716 -0.01540183 -0.2420021 -0.003110298
#> [7,] 0.25977204 0.241373438 0.21619984 -0.01443735 -0.3257594 0.093815995
#> [8,] -0.01660111 0.012658075 -0.10381565 0.07236177 -0.2782956 -0.155974327
#> [9,] 0.04524950 0.153556795 0.13127857 0.09828117 -0.2597630 0.218837505
#> [10,] 0.08189222 0.164923962 0.18078489 0.17579816 -0.3128844 0.057466022
#> V31 V32 V33 V34 V35 V36
#> [1,] 0.06717093 -0.015893741 0.06554703 0.08581352 0.066677357 -0.01798487
#> [2,] 0.06716614 0.007571472 -0.05597928 -0.06601015 0.041284752 0.03127937
#> [3,] -0.12497909 -0.065813176 -0.13932474 -0.14775066 0.004841053 -0.07398487
#> [4,] -0.01598781 0.051944234 -0.09858165 0.07584664 -0.105016387 -0.03197204
#> [5,] 0.15513800 0.065918470 0.08829063 0.10079494 0.021029643 0.01325036
#> [6,] 0.02921583 -0.030503128 -0.04663572 0.07200186 -0.055520808 0.04173911
#> [7,] -0.02080812 -0.038367913 -0.06089517 0.09463944 -0.044045746 0.03018976
#> [8,] -0.19497580 -0.076929372 -0.02819530 -0.04859474 0.001946971 -0.01006900
#> [9,] 0.10562813 0.134376537 0.14835723 0.04532518 0.206886806 0.02384680
#> [10,] 0.13467630 0.092303914 -0.07228116 -0.09530860 -0.051355259 0.04235445
#> V37 V38 V39 V4 V40
#> [1,] -0.03946726 -0.043489580 0.06924739 -0.1974607 -0.078462077
#> [2,] -0.01775522 0.007188074 -0.08926635 -0.3523686 0.054553514
#> [3,] -0.08718908 -0.126207453 -0.11839156 -0.1603229 -0.163497028
#> [4,] -0.06562329 -0.192221159 -0.12621278 -0.3202100 -0.133528213
#> [5,] 0.04201056 0.102314177 0.02186252 -0.2663793 -0.045322653
#> [6,] -0.09997906 -0.067891664 -0.06349291 -0.1342810 -0.114995252
#> [7,] -0.04908910 -0.113690863 -0.07057680 -0.2981434 -0.018584738
#> [8,] -0.10423480 0.064644758 -0.08904229 -0.2354961 0.008758396
#> [9,] 0.16234634 -0.023153288 -0.01995412 -0.1799716 0.044147946
#> [10,] -0.05776186 0.052089434 0.03664448 -0.2809275 0.069684882
#> V41 V42 V43 V44 V45
#> [1,] 0.0312865062 -0.05936860 -0.058710527 -0.05777079 -0.114975198
#> [2,] -0.0285231646 -0.01890223 -0.048689819 -0.05135320 -0.131908228
#> [3,] -0.0600820460 -0.06708621 -0.065560006 -0.08149186 -0.222328806
#> [4,] -0.1549827816 -0.14633129 -0.009300961 -0.23235636 -0.248855268
#> [5,] -0.0003037227 0.01923444 -0.015051251 -0.18395544 -0.101087278
#> [6,] -0.0093751442 -0.04848727 -0.079659408 -0.09570343 -0.147957699
#> [7,] -0.0908342831 -0.10128377 -0.064272257 -0.07522644 -0.069189758
#> [8,] -0.1232966798 -0.12758539 -0.187313683 -0.20150692 -0.205993562
#> [9,] 0.0338129762 -0.02513324 -0.017219066 -0.07662110 -0.086163016
#> [10,] -0.0355529672 -0.02091967 -0.022895048 0.00503565 0.008083051
#> V46 V47 V48 V49 V5 V50
#> [1,] -0.18754557 -0.1658032 -0.2013244 -0.2658522 -0.2468734 -0.2327765
#> [2,] -0.10309009 -0.1509366 -0.1956872 -0.2132709 -0.2674782 -0.3873698
#> [3,] -0.23979188 -0.1677178 -0.2144756 -0.2032697 -0.2809091 -0.2980177
#> [4,] -0.06766133 -0.2313667 -0.2964626 -0.3407297 -0.2164780 -0.2609579
#> [5,] -0.08853753 -0.1201200 -0.2451052 -0.2394515 -0.1946888 -0.2568831
#> [6,] -0.22806941 -0.2514723 -0.1063272 -0.3051346 -0.2361807 -0.2508839
#> [7,] -0.19790331 -0.2893808 -0.1718533 -0.3402991 -0.2359391 -0.3639368
#> [8,] -0.18363523 -0.2655054 -0.1659521 -0.2768429 -0.2111329 -0.2397033
#> [9,] -0.16951616 -0.1826706 -0.2202739 -0.1995526 -0.2343547 -0.3392959
#> [10,] -0.06025723 -0.1397830 -0.3127730 -0.3597574 -0.1832895 -0.3616401
#> V51 V52 V53 V54 V55 V56
#> [1,] -0.2483014 -0.2653310 -0.2828326 -0.2485612 -0.3505883 -0.2709250
#> [2,] -0.2707726 -0.2889616 -0.4076137 -0.3290156 -0.4154565 -0.3936067
#> [3,] -0.2284991 -0.2135316 -0.2009712 -0.3894834 -0.2829493 -0.2423628
#> [4,] -0.3593134 -0.3113448 -0.2519048 -0.3165334 -0.3649246 -0.2615546
#> [5,] -0.3987486 -0.3427824 -0.3525428 -0.3785686 -0.3511096 -0.3737586
#> [6,] -0.2871306 -0.3707858 -0.2986179 -0.3855771 -0.2570369 -0.2586419
#> [7,] -0.2274732 -0.3402785 -0.3464086 -0.3856444 -0.3246133 -0.2284210
#> [8,] -0.3307728 -0.3127506 -0.3948897 -0.2834329 -0.3337979 -0.3344380
#> [9,] -0.3019019 -0.3183139 -0.3658921 -0.2815269 -0.2184104 -0.3707649
#> [10,] -0.3272890 -0.4182630 -0.3317905 -0.2816844 -0.3655334 -0.3676680
#> V57 V58 V59 V6 V60 V7
#> [1,] -0.2624940 -0.2210982 -0.3627644 -0.1781373 -0.4265424 -0.2082179
#> [2,] -0.3079175 -0.3956990 -0.4189670 -0.1160016 -0.3186061 -0.1087341
#> [3,] -0.1912676 -0.3345367 -0.2119230 -0.1582364 -0.2648669 -0.1753438
#> [4,] -0.2874002 -0.3293679 -0.2277161 -0.1852538 -0.3887411 -0.1622180
#> [5,] -0.4192050 -0.3743880 -0.3631405 -0.1801504 -0.3491590 -0.2079803
#> [6,] -0.3051723 -0.3084394 -0.3527124 -0.2165684 -0.3735833 -0.1670050
#> [7,] -0.3402169 -0.2736773 -0.3279707 -0.2277504 -0.3295466 -0.1468942
#> [8,] -0.3293599 -0.3426085 -0.3636601 -0.1667855 -0.2902100 -0.2314282
#> [9,] -0.3200003 -0.3305183 -0.2868716 -0.1592600 -0.3426423 -0.1419267
#> [10,] -0.4439479 -0.3535117 -0.3874213 -0.2515910 -0.2934936 -0.1146003
#> V8 V9
#> [1,] -0.11988450 -0.15220020
#> [2,] -0.23360332 -0.09002989
#> [3,] -0.09455502 -0.20486827
#> [4,] -0.13951265 -0.20921215
#> [5,] -0.10956940 -0.13351991
#> [6,] -0.07136090 -0.07558422
#> [7,] -0.12892943 -0.07840377
#> [8,] -0.20572829 -0.07684717
#> [9,] -0.17877392 -0.10011060
#> [10,] -0.13971396 -0.21172154
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.1325631 0.17609425 0.07602071 -0.07617625 -0.03116936 -0.008437682
#> [2,] -0.1360523 -0.04494782 0.04577491 0.09257053 -0.06711837 0.078836480
#> [,7] [,8] [,9] [,10]
#> [1,] 0.01490176 -0.02103151 0.037042042 0.038800557
#> [2,] -0.14961426 -0.02053444 -0.003369842 -0.006869368
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] -3.663711e-04 -1.870509e-03 -2.298026e-03 -2.191830e-03 -1.834074e-03
#> [2,] -1.590868e-04 -7.597787e-04 -8.784006e-04 -7.559781e-04 -6.335474e-04
#> [3,] 1.622311e-06 2.599454e-05 2.794944e-05 2.552665e-05 4.219818e-05
#> [4,] 3.081516e-04 1.836383e-03 2.361445e-03 2.389574e-03 1.962955e-03
#> [5,] 1.186377e-04 6.732804e-04 8.361231e-04 8.027233e-04 7.200100e-04
#> [6,] 2.342318e-04 1.364143e-03 1.715406e-03 1.705282e-03 1.441106e-03
#> [7,] -1.481590e-04 -7.190864e-04 -8.576763e-04 -7.840038e-04 -6.360695e-04
#> [8,] 1.143472e-04 6.909420e-04 8.734552e-04 8.569846e-04 7.401701e-04
#> [9,] 9.740402e-05 5.510578e-04 6.749451e-04 6.446333e-04 5.905412e-04
#> [10,] 8.770165e-05 5.121904e-04 6.394930e-04 6.185012e-04 5.626793e-04
#> V14 V15 V16 V17 V18
#> [1,] -1.429627e-03 -1.249332e-03 -1.156464e-03 -0.0009014444 -0.0010274928
#> [2,] -5.397929e-04 -5.330729e-04 -5.503850e-04 -0.0004410425 -0.0004522015
#> [3,] 6.568197e-05 7.787412e-05 8.824228e-05 0.0000989096 0.0001058418
#> [4,] 1.379201e-03 1.013343e-03 9.071477e-04 0.0007441035 0.0009721858
#> [5,] 6.449650e-04 5.951965e-04 5.629749e-04 0.0005128220 0.0005586898
#> [6,] 1.094731e-03 8.851191e-04 8.243644e-04 0.0006931974 0.0008500618
#> [7,] -4.737898e-04 -4.182897e-04 -4.177546e-04 -0.0003000534 -0.0003330158
#> [8,] 6.044977e-04 5.200201e-04 4.825555e-04 0.0004294651 0.0004959169
#> [9,] 5.452426e-04 5.209369e-04 5.050898e-04 0.0004655980 0.0005023712
#> [10,] 5.078552e-04 4.677433e-04 4.372896e-04 0.0003992149 0.0004473707
#> V19 V2 V20 V21 V22
#> [1,] -0.0021420877 -5.087216e-04 -3.776389e-03 -3.629660e-03 -0.0026320532
#> [2,] -0.0008059001 -2.233377e-04 -1.445495e-03 -1.386963e-03 -0.0009356506
#> [3,] 0.0001081203 -1.045731e-06 8.022405e-05 9.264519e-05 0.0001137964
#> [4,] 0.0022005419 4.287061e-04 3.595914e-03 3.445879e-03 0.0028012665
#> [5,] 0.0009361685 1.522908e-04 1.383294e-03 1.373672e-03 0.0011127306
#> [6,] 0.0017127656 3.210953e-04 2.735099e-03 2.650446e-03 0.0021429806
#> [7,] -0.0007336344 -2.147593e-04 -1.393929e-03 -1.320127e-03 -0.0008829440
#> [8,] 0.0009259444 1.490465e-04 1.409146e-03 1.397264e-03 0.0011399480
#> [9,] 0.0007899507 1.234490e-04 1.135153e-03 1.136509e-03 0.0009340455
#> [10,] 0.0007531244 1.103412e-04 1.076666e-03 1.070936e-03 0.0008895008
#> V23 V24 V25 V26 V27
#> [1,] -0.0016636056 -0.0011563987 -0.0006482590 -0.0009291049 -0.0012916553
#> [2,] -0.0005141108 -0.0003606585 -0.0002373880 -0.0003904045 -0.0004686539
#> [3,] 0.0001426748 0.0001633154 0.0001676607 0.0001652454 0.0001633679
#> [4,] 0.0019717800 0.0013324329 0.0007137465 0.0009576954 0.0015221052
#> [5,] 0.0008677828 0.0007452177 0.0005870747 0.0006394739 0.0007677358
#> [6,] 0.0015748145 0.0011935773 0.0008004186 0.0010057445 0.0013686720
#> [7,] -0.0004636004 -0.0002701820 -0.0001103288 -0.0002843676 -0.0004256125
#> [8,] 0.0008456965 0.0006783114 0.0004922820 0.0005492716 0.0006930735
#> [9,] 0.0007560889 0.0006773742 0.0005594297 0.0006155940 0.0007192197
#> [10,] 0.0007169523 0.0006206927 0.0004869883 0.0005137417 0.0006056937
#> V28 V29 V3 V30 V31
#> [1,] -0.0013847287 -0.0011739589 -5.462309e-04 -0.0016418932 -0.0006573722
#> [2,] -0.0004678957 -0.0003878534 -2.306138e-04 -0.0006659203 -0.0003040719
#> [3,] 0.0001674638 0.0001526745 -4.959087e-07 0.0001144616 0.0001042249
#> [4,] 0.0015477617 0.0012183299 4.758933e-04 0.0014999549 0.0005197650
#> [5,] 0.0008181268 0.0006945334 1.676589e-04 0.0007270815 0.0004023000
#> [6,] 0.0014147814 0.0011739672 3.516712e-04 0.0013384486 0.0006105632
#> [7,] -0.0004283963 -0.0003381550 -2.238385e-04 -0.0005996358 -0.0002350423
#> [8,] 0.0007140740 0.0005634955 1.648539e-04 0.0006001738 0.0002480007
#> [9,] 0.0007612280 0.0006611779 1.363900e-04 0.0006810724 0.0004271789
#> [10,] 0.0006524595 0.0005586391 1.210800e-04 0.0005655823 0.0003068646
#> V32 V33 V34 V35 V36
#> [1,] -8.816775e-04 -4.254438e-04 2.287474e-04 7.255760e-04 7.787147e-04
#> [2,] -3.743288e-04 -1.758217e-04 6.727082e-05 1.961481e-04 1.984601e-04
#> [3,] 8.217703e-05 8.947073e-05 9.729397e-05 1.054307e-04 8.193643e-05
#> [4,] 7.245977e-04 1.036177e-04 -8.085608e-04 -1.408063e-03 -1.332006e-03
#> [5,] 4.305142e-04 2.987779e-04 9.764152e-05 -6.198382e-05 -1.875640e-04
#> [6,] 7.217638e-04 3.248885e-04 -2.561560e-04 -6.469804e-04 -6.332596e-04
#> [7,] -3.282027e-04 -1.131096e-04 1.586497e-04 3.280573e-04 2.917933e-04
#> [8,] 3.026326e-04 1.490237e-04 -1.083753e-04 -3.097836e-04 -3.827489e-04
#> [9,] 4.337080e-04 3.296926e-04 1.799363e-04 6.681787e-05 -2.656229e-05
#> [10,] 3.246630e-04 2.368890e-04 8.615909e-05 -3.027676e-05 -1.345317e-04
#> V37 V38 V39 V4 V40
#> [1,] 2.602268e-04 -8.389443e-04 -1.371618e-03 -7.280599e-04 -8.501775e-04
#> [2,] -1.588555e-05 -3.854024e-04 -5.248544e-04 -2.948871e-04 -3.192925e-04
#> [3,] 6.808152e-05 6.879726e-05 6.458245e-05 -2.003933e-06 5.870787e-05
#> [4,] -6.494465e-04 5.461296e-04 1.202241e-03 6.772141e-04 8.679445e-04
#> [5,] -5.022389e-05 3.636565e-04 5.450884e-04 2.244569e-04 3.635341e-04
#> [6,] -2.137456e-04 5.959817e-04 1.030304e-03 4.907696e-04 7.504235e-04
#> [7,] 5.332990e-05 -3.264013e-04 -5.023203e-04 -2.945021e-04 -3.139602e-04
#> [8,] -1.828347e-04 2.773352e-04 5.080477e-04 2.270545e-04 3.464560e-04
#> [9,] 6.914293e-05 3.650796e-04 4.931089e-04 1.781133e-04 3.475195e-04
#> [10,] -4.275551e-05 2.879553e-04 4.376659e-04 1.653152e-04 3.007846e-04
#> V41 V42 V43 V44 V45
#> [1,] -8.971973e-04 -1.001012e-03 -1.207747e-03 -0.0012966990 -1.866411e-03
#> [2,] -3.004578e-04 -2.797647e-04 -3.868890e-04 -0.0004677363 -7.325750e-04
#> [3,] 5.405312e-05 6.532552e-05 5.100122e-05 0.0000398099 3.259287e-05
#> [4,] 1.051545e-03 1.214832e-03 1.387999e-03 0.0014195662 1.888873e-03
#> [5,] 4.046019e-04 5.165711e-04 5.459137e-04 0.0005435682 7.146346e-04
#> [6,] 8.399538e-04 9.522824e-04 1.055419e-03 0.0010702522 1.415181e-03
#> [7,] -3.180847e-04 -2.960063e-04 -4.031409e-04 -0.0004672787 -7.166430e-04
#> [8,] 3.924130e-04 4.953880e-04 5.354628e-04 0.0005367982 7.155120e-04
#> [9,] 3.569217e-04 4.413880e-04 4.598471e-04 0.0004523078 5.806946e-04
#> [10,] 3.385218e-04 4.261329e-04 4.364448e-04 0.0004210913 5.444501e-04
#> V46 V47 V48 V49 V5
#> [1,] -1.341459e-03 -7.898672e-04 -5.883018e-04 -3.951223e-04 -7.022543e-04
#> [2,] -5.390109e-04 -3.077535e-04 -2.305756e-04 -1.550172e-04 -2.874767e-04
#> [3,] 3.044353e-05 2.165966e-05 1.574215e-05 8.602576e-06 -1.530186e-06
#> [4,] 1.349009e-03 8.750156e-04 6.328540e-04 4.396473e-04 6.888772e-04
#> [5,] 5.289070e-04 3.236750e-04 2.408392e-04 1.532976e-04 2.146826e-04
#> [6,] 1.019238e-03 6.422573e-04 4.694560e-04 3.200762e-04 4.942120e-04
#> [7,] -5.134006e-04 -2.972448e-04 -2.224217e-04 -1.554315e-04 -2.904638e-04
#> [8,] 5.161016e-04 3.214437e-04 2.400856e-04 1.602643e-04 2.231522e-04
#> [9,] 4.325695e-04 2.687175e-04 2.005033e-04 1.256434e-04 1.721557e-04
#> [10,] 4.052231e-04 2.479966e-04 1.834228e-04 1.184453e-04 1.575864e-04
#> V50 V51 V52 V53 V54
#> [1,] -8.981358e-05 -1.014648e-04 -1.334668e-04 -5.509522e-05 -4.830934e-05
#> [2,] -3.741973e-05 -3.450114e-05 -5.303681e-05 -1.961578e-05 -1.509938e-05
#> [3,] 4.683121e-06 2.928778e-06 1.589964e-06 2.368391e-06 2.776369e-06
#> [4,] 8.247052e-05 9.940399e-05 1.289899e-04 4.939660e-05 4.620925e-05
#> [5,] 4.114695e-05 4.348147e-05 4.814642e-05 2.433432e-05 2.435164e-05
#> [6,] 6.805789e-05 7.621027e-05 9.552154e-05 4.045587e-05 3.802422e-05
#> [7,] -3.244306e-05 -3.434779e-05 -5.214336e-05 -1.854740e-05 -1.336369e-05
#> [8,] 3.784995e-05 4.100742e-05 4.650096e-05 2.179157e-05 2.212748e-05
#> [9,] 3.548362e-05 3.609016e-05 3.884989e-05 2.059454e-05 2.059935e-05
#> [10,] 3.233631e-05 3.337312e-05 3.614747e-05 1.925652e-05 2.005256e-05
#> V55 V56 V57 V58 V59
#> [1,] -5.390543e-05 -4.640327e-05 -2.280043e-05 -4.726442e-05 -3.710433e-05
#> [2,] -2.029975e-05 -1.740601e-05 -1.102797e-05 -1.735135e-05 -1.303229e-05
#> [3,] 1.755284e-06 1.219224e-06 1.308646e-06 1.365297e-06 1.474606e-06
#> [4,] 4.358228e-05 4.075052e-05 1.112459e-05 4.319765e-05 3.039373e-05
#> [5,] 2.208651e-05 1.756700e-05 9.493565e-06 1.826806e-05 1.476564e-05
#> [6,] 3.656433e-05 3.238318e-05 1.278523e-05 3.431161e-05 2.614783e-05
#> [7,] -1.870063e-05 -1.647163e-05 -8.449335e-06 -1.658067e-05 -1.250769e-05
#> [8,] 1.972428e-05 1.680603e-05 6.500854e-06 1.694404e-05 1.306638e-05
#> [9,] 1.875064e-05 1.470398e-05 9.018841e-06 1.579688e-05 1.333153e-05
#> [10,] 1.732451e-05 1.403495e-05 7.135945e-06 1.470794e-05 1.188519e-05
#> V6 V60 V7 V8 V9
#> [1,] -4.909207e-04 -3.920782e-05 -4.454431e-04 -8.890857e-04 -1.700408e-03
#> [2,] -2.017639e-04 -1.625634e-05 -1.918912e-04 -3.688287e-04 -7.106686e-04
#> [3,] 1.439143e-05 6.222303e-07 2.465978e-05 2.280037e-05 2.134593e-05
#> [4,] 4.861808e-04 3.321726e-05 4.531142e-04 8.609496e-04 1.603854e-03
#> [5,] 1.832335e-04 1.300224e-05 1.960102e-04 3.356122e-04 6.030484e-04
#> [6,] 3.726111e-04 2.647664e-05 3.616565e-04 6.626613e-04 1.205262e-03
#> [7,] -1.893176e-04 -1.548862e-05 -1.649654e-04 -3.421731e-04 -6.645530e-04
#> [8,] 1.794217e-04 1.204710e-05 1.884455e-04 3.363829e-04 6.087862e-04
#> [9,] 1.573757e-04 1.133024e-05 1.731852e-04 2.826414e-04 4.900966e-04
#> [10,] 1.381552e-04 9.920467e-06 1.540408e-04 2.626311e-04 4.562957e-04
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.0374543 -0.04855181 -0.01317899 -0.005181712 -0.04121732 -0.01257023
#> [2,] 0.0374543 0.04855181 0.01317899 0.005181712 0.04121732 0.01257023
#> [,7] [,8] [,9] [,10]
#> [1,] -0.03759229 -0.0212029 -0.04039227 -0.03691973
#> [2,] 0.03759229 0.0212029 0.04039227 0.03691973
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.3425678 0.7608420 0.1164930 0.1676818 0.5920475 0.2751293 0.3345130
#> [8] 0.4100544 0.5612418 0.6415059
#>
#> $B[[2]]
#> [1] 0.07550402 -0.18511567
#>
#>
#> $vB
#> $vB[[1]]
#> [1] -0.0025248152 -0.0010141282 0.0001945883 0.0021834203 0.0011700571
#> [6] 0.0020086238 -0.0008820793 0.0009976796 0.0010884083 0.0009273463
#>
#> $vB[[2]]
#> [1] -0.06283026 0.06283026
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0303 0.2354 0.2898 0.2812 0.1578 0.0273 0.0673 0.1444 0.2070 0.2645
#> [2,] 0.0180 0.2918 0.3273 0.3035 0.3033 0.2587 0.1682 0.1308 0.2803 0.4519
#> [3,] 0.0368 0.2544 0.2936 0.2935 0.2657 0.3187 0.2794 0.2534 0.1980 0.1929
#> [4,] 0.0176 0.0474 0.0526 0.1854 0.1040 0.0948 0.0912 0.1688 0.1568 0.0375
#> [5,] 0.0210 0.0686 0.1125 0.1741 0.2710 0.3087 0.3575 0.4998 0.6011 0.6470
#> [6,] 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> [7,] 0.0217 0.1777 0.4079 0.4113 0.3973 0.5078 0.6509 0.8073 0.9819 1.0000
#> [8,] 0.0132 0.0922 0.1445 0.1475 0.2087 0.2558 0.2603 0.1985 0.2394 0.3134
#> [9,] 0.0459 0.1408 0.2693 0.3259 0.4545 0.5785 0.4471 0.2231 0.2164 0.3201
#> [10,] 0.0107 0.2936 0.3104 0.3431 0.2456 0.1887 0.1184 0.2080 0.2736 0.3274
#> [11,] 0.0209 0.1853 0.1748 0.1556 0.1476 0.1378 0.2584 0.3827 0.4784 0.5360
#> [12,] 0.0139 0.1015 0.1261 0.0828 0.0493 0.0848 0.1514 0.1396 0.1066 0.1923
#> [13,] 0.0126 0.4284 0.3015 0.1207 0.3299 0.5707 0.6962 0.9751 1.0000 0.9293
#> [14,] 0.0715 0.4186 0.4867 0.5249 0.5959 0.6855 0.8573 0.9718 0.8693 0.8711
#> [15,] 0.0721 0.0795 0.2534 0.3920 0.3375 0.1610 0.1889 0.3308 0.2282 0.2177
#> [16,] 0.1150 0.5378 0.3816 0.0991 0.0616 0.1795 0.3907 0.3602 0.3041 0.2428
#> [17,] 0.0856 0.2751 0.2707 0.0946 0.1020 0.4519 0.6737 0.6699 0.7066 0.5632
#> [18,] 0.0164 0.0780 0.1791 0.2681 0.1788 0.1039 0.1980 0.3234 0.3748 0.2586
#> [19,] 0.0968 0.5025 0.3488 0.1700 0.2076 0.3087 0.4224 0.5312 0.2436 0.1884
#> [20,] 0.0231 0.0347 0.0575 0.1382 0.2274 0.4038 0.5223 0.6847 0.7521 0.7760
#> [21,] 0.0366 0.1847 0.2222 0.2648 0.2508 0.2291 0.1555 0.1863 0.2387 0.3345
#> [22,] 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> [23,] 0.0086 0.1185 0.0775 0.1101 0.1042 0.0853 0.0456 0.1304 0.2690 0.2947
#> [24,] 0.0117 0.2169 0.1180 0.0754 0.2782 0.3758 0.5093 0.6592 0.7071 0.7532
#> [25,] 0.0162 0.1779 0.2164 0.2568 0.3089 0.3829 0.4393 0.5335 0.5996 0.6728
#> [26,] 0.0272 0.3997 0.3941 0.3309 0.2926 0.1760 0.1739 0.2043 0.2088 0.2678
#> [27,] 0.0239 0.1376 0.0938 0.0259 0.1499 0.2851 0.5743 0.8278 0.8669 0.8131
#> [28,] 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> [29,] 0.0071 0.0898 0.0289 0.1554 0.1437 0.1035 0.1424 0.1227 0.0892 0.2047
#> [30,] 0.0096 0.2952 0.4025 0.5148 0.4901 0.4127 0.3575 0.3447 0.3068 0.2945
#> [31,] 0.0712 0.2127 0.2891 0.3985 0.4576 0.5821 0.5027 0.1930 0.2579 0.3177
#> [32,] 0.0629 0.3597 0.5466 0.5205 0.5127 0.5395 0.6558 0.8705 0.9786 0.9335
#> [33,] 0.1088 0.5761 0.4733 0.2362 0.1023 0.2904 0.4713 0.4659 0.1415 0.0849
#> [34,] 0.0189 0.2522 0.2607 0.3710 0.3906 0.2672 0.2716 0.4183 0.6988 0.5733
#> [35,] 0.0068 0.2475 0.1606 0.0922 0.2398 0.3220 0.4295 0.2652 0.0666 0.1442
#> [36,] 0.0249 0.2531 0.2855 0.2961 0.3341 0.4287 0.5205 0.6087 0.7236 0.7577
#> [37,] 0.0587 0.2352 0.3208 0.4257 0.5201 0.4914 0.5950 0.7221 0.9039 0.9111
#> [38,] 0.1313 0.2231 0.2907 0.2259 0.3136 0.3302 0.3660 0.3956 0.4386 0.4670
#> [39,] 0.0200 0.2111 0.1609 0.1582 0.2238 0.0645 0.0660 0.2273 0.3100 0.2999
#> [40,] 0.0294 0.3473 0.4231 0.5044 0.5237 0.4398 0.3236 0.2956 0.3286 0.3231
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.2828 0.0353 0.4293 0.5685 0.6990 0.7246 0.7622 0.9242 1.0000 0.9979
#> [2,] 0.6641 0.0444 0.7683 0.6960 0.4393 0.2432 0.2886 0.4974 0.8172 1.0000
#> [3,] 0.2826 0.0279 0.3245 0.3504 0.3324 0.4217 0.4774 0.4808 0.6325 0.8334
#> [4,] 0.1316 0.0172 0.2086 0.1976 0.0946 0.1965 0.1242 0.0616 0.2141 0.4642
#> [5,] 0.8067 0.0121 0.9008 0.8906 0.9338 1.0000 0.9102 0.8496 0.7867 0.7688
#> [6,] 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> [7,] 0.9407 0.0340 0.8452 0.8106 0.8460 0.6212 0.5815 0.7745 0.8204 0.5601
#> [8,] 0.4077 0.0080 0.4529 0.4893 0.5666 0.6234 0.6741 0.8282 0.8823 0.9196
#> [9,] 0.2915 0.0437 0.4235 0.4460 0.2380 0.6415 0.8966 0.8918 0.7529 0.6838
#> [10,] 0.2344 0.0453 0.1260 0.0576 0.1241 0.3239 0.4357 0.5734 0.7825 0.9252
#> [11,] 0.6192 0.0278 0.7912 0.9264 1.0000 0.9080 0.7435 0.5557 0.3172 0.1295
#> [12,] 0.2991 0.0222 0.3247 0.3797 0.5658 0.7483 0.8757 0.9048 0.7511 0.6858
#> [13,] 0.6210 0.0519 0.4586 0.5001 0.5032 0.7082 0.8420 0.8109 0.7690 0.8105
#> [14,] 0.8954 0.0849 0.9922 0.8980 0.8158 0.8373 0.7541 0.5893 0.5488 0.5643
#> [15,] 0.1853 0.1574 0.5167 0.5342 0.6298 0.8437 0.6756 0.5825 0.6141 0.8809
#> [16,] 0.4060 0.1163 0.8395 0.9777 0.4680 0.0610 0.2143 0.1348 0.2854 0.1617
#> [17,] 0.3785 0.0454 0.2721 0.5297 0.7697 0.8643 0.9304 0.9372 0.6247 0.6024
#> [18,] 0.3680 0.0627 0.3508 0.5606 0.5231 0.5469 0.6954 0.6352 0.6757 0.8499
#> [19,] 0.1908 0.0821 0.8321 1.0000 0.4076 0.0960 0.1928 0.2419 0.3790 0.2893
#> [20,] 0.7708 0.0351 0.8627 1.0000 0.8873 0.8057 0.8760 0.9066 0.9430 0.8846
#> [21,] 0.5233 0.0421 0.6684 0.7766 0.7928 0.7940 0.9129 0.9498 0.9835 1.0000
#> [22,] 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> [23,] 0.3669 0.0215 0.4948 0.6275 0.8162 0.9237 0.8710 0.8052 0.8756 1.0000
#> [24,] 0.8357 0.0069 0.8593 0.9615 0.9838 0.8705 0.6403 0.5067 0.5395 0.6934
#> [25,] 0.7309 0.0041 0.8092 0.8941 0.9668 1.0000 0.9893 0.9376 0.8991 0.9184
#> [26,] 0.2434 0.0378 0.1839 0.2802 0.6172 0.8015 0.8313 0.8440 0.8494 0.9168
#> [27,] 0.9045 0.0189 0.9046 1.0000 0.9976 0.9872 0.9761 0.9009 0.9724 0.9675
#> [28,] 0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> [29,] 0.0827 0.0103 0.1524 0.3031 0.1608 0.0667 0.1426 0.0395 0.1653 0.3399
#> [30,] 0.4351 0.0404 0.7264 0.8147 0.8103 0.6665 0.6958 0.7748 0.8688 1.0000
#> [31,] 0.2745 0.0901 0.6186 0.8958 0.7442 0.5188 0.2811 0.1773 0.6607 0.7576
#> [32,] 0.7917 0.1065 0.7383 0.6908 0.3850 0.0671 0.0502 0.2717 0.2839 0.2234
#> [33,] 0.3257 0.1278 0.9007 0.9312 0.4856 0.1346 0.1604 0.2737 0.5609 0.3654
#> [34,] 0.2226 0.0308 0.2631 0.7473 0.7263 0.3393 0.2824 0.6053 0.5897 0.4967
#> [35,] 0.2373 0.0232 0.2595 0.2493 0.3903 0.6384 0.8037 0.7026 0.6874 0.6997
#> [36,] 0.7726 0.0119 0.8098 0.8995 0.9247 0.9365 0.9853 0.9776 1.0000 0.9896
#> [37,] 0.8723 0.1210 0.7686 0.7326 0.5222 0.3097 0.3172 0.2270 0.1640 0.1746
#> [38,] 0.5255 0.2339 0.3735 0.2243 0.1973 0.4337 0.6532 0.5070 0.2796 0.4163
#> [39,] 0.5078 0.0371 0.4797 0.5783 0.5071 0.4328 0.5550 0.6711 0.6415 0.7104
#> [40,] 0.4528 0.0123 0.6339 0.7044 0.8314 0.8449 0.8512 0.9138 0.9985 1.0000
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.8297 0.7032 0.0490 0.7141 0.6893 0.4961 0.2584 0.0969 0.0776 0.0364
#> [2,] 0.9238 0.8519 0.0476 0.7722 0.5772 0.5190 0.6824 0.6220 0.5054 0.3578
#> [3,] 0.9458 1.0000 0.0103 0.8425 0.5524 0.4795 0.5200 0.3968 0.1940 0.1519
#> [4,] 0.6471 0.6340 0.0501 0.6107 0.7046 0.5376 0.5934 0.8443 0.9481 0.9705
#> [5,] 0.7718 0.6268 0.0203 0.4301 0.2077 0.1198 0.1660 0.2618 0.3862 0.3958
#> [6,] 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> [7,] 0.2989 0.5009 0.0392 0.6628 0.5753 0.4055 0.3746 0.3481 0.1580 0.1422
#> [8,] 0.8965 0.7549 0.0188 0.6736 0.6463 0.5007 0.3663 0.2298 0.1362 0.2123
#> [9,] 0.8390 1.0000 0.0347 0.8362 0.5427 0.4577 0.8067 0.6973 0.3915 0.1558
#> [10,] 0.9349 0.9348 0.0289 1.0000 0.9308 0.8478 0.7605 0.7040 0.7539 0.7990
#> [11,] 0.0598 0.2722 0.0115 0.3616 0.3293 0.4855 0.3936 0.1845 0.0342 0.2489
#> [12,] 0.7043 0.5864 0.0089 0.3773 0.2206 0.2628 0.2672 0.2907 0.1982 0.2288
#> [13,] 0.6203 0.2356 0.0621 0.2595 0.6299 0.6762 0.2903 0.4393 0.8529 0.7180
#> [14,] 0.5406 0.4783 0.0587 0.4439 0.3698 0.2574 0.1478 0.1743 0.1229 0.1588
#> [15,] 0.8375 0.3869 0.1112 0.5051 0.5455 0.4241 0.1534 0.4950 0.6983 0.7109
#> [16,] 0.2649 0.4565 0.0866 0.6502 0.2848 0.3296 0.5370 0.6627 0.8626 0.8547
#> [17,] 0.6810 0.5047 0.0382 0.5775 0.4754 0.2400 0.2779 0.1997 0.5305 0.7409
#> [18,] 0.8025 0.6563 0.0738 0.8591 0.6655 0.5369 0.3118 0.3763 0.2801 0.0875
#> [19,] 0.3451 0.3777 0.0629 0.5213 0.2316 0.3335 0.4781 0.6116 0.6705 0.7375
#> [20,] 0.6500 0.2970 0.0030 0.2423 0.2992 0.2285 0.2277 0.1529 0.1037 0.0352
#> [21,] 0.9471 0.8237 0.0504 0.6252 0.4181 0.3209 0.2658 0.2196 0.1588 0.0561
#> [22,] 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> [23,] 0.9858 0.9427 0.0242 0.8114 0.6987 0.6810 0.6591 0.6954 0.7290 0.6680
#> [24,] 0.8487 0.8213 0.0279 0.5962 0.2950 0.2758 0.2885 0.1893 0.1446 0.0955
#> [25,] 0.9128 0.7811 0.0239 0.6018 0.3765 0.3300 0.2280 0.0212 0.1117 0.1788
#> [26,] 1.0000 0.7896 0.0488 0.5371 0.6472 0.6505 0.4959 0.2175 0.0990 0.0434
#> [27,] 0.7633 0.4434 0.0466 0.3822 0.4727 0.4007 0.3381 0.3172 0.2222 0.0733
#> [28,] 0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> [29,] 0.4855 0.5206 0.0135 0.5508 0.6102 0.5989 0.6764 0.8897 1.0000 0.9517
#> [30,] 0.9941 0.8793 0.0682 0.6482 0.5876 0.6408 0.4972 0.2755 0.0300 0.3356
#> [31,] 0.5122 0.4701 0.1276 0.5479 0.4347 0.1276 0.0846 0.0927 0.0313 0.0998
#> [32,] 0.1911 0.0408 0.1526 0.2531 0.1979 0.1891 0.2433 0.1956 0.2667 0.1340
#> [33,] 0.6139 0.5470 0.0926 0.8474 0.5638 0.5443 0.5086 0.6253 0.8497 0.8406
#> [34,] 0.8616 0.8339 0.0197 0.4084 0.2268 0.1745 0.0507 0.1588 0.3040 0.1369
#> [35,] 0.8558 1.0000 0.0513 0.9621 0.8996 0.7575 0.6902 0.5686 0.4396 0.4546
#> [36,] 0.9076 0.7306 0.0277 0.5758 0.4469 0.3719 0.2079 0.0955 0.0488 0.1406
#> [37,] 0.1835 0.2048 0.1268 0.1674 0.2767 0.3104 0.3399 0.4441 0.5046 0.2814
#> [38,] 0.5950 0.5242 0.3059 0.4178 0.3714 0.2375 0.0863 0.1437 0.2896 0.4577
#> [39,] 0.8080 0.6791 0.0428 0.3857 0.1307 0.2604 0.5121 0.7547 0.8537 0.8507
#> [40,] 0.7544 0.4661 0.0117 0.3924 0.3849 0.4674 0.4245 0.3095 0.0752 0.2885
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.1572 0.1823 0.1349 0.0608 0.0849 0.0492 0.1367 0.1552 0.1548 0.1319
#> [2,] 0.3809 0.3813 0.3359 0.0698 0.2771 0.3648 0.3834 0.3453 0.2096 0.1031
#> [3,] 0.2010 0.1736 0.1029 0.0566 0.2244 0.3717 0.4449 0.3939 0.2030 0.2010
#> [4,] 0.7766 0.6313 0.5760 0.0285 0.6148 0.5450 0.4813 0.3406 0.1916 0.1134
#> [5,] 0.3248 0.2302 0.3250 0.1036 0.4022 0.4344 0.4008 0.3370 0.2518 0.2101
#> [6,] 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> [7,] 0.2130 0.1866 0.1003 0.0236 0.2396 0.2241 0.2029 0.0710 0.1606 0.1669
#> [8,] 0.2395 0.2673 0.2865 0.0141 0.2060 0.1659 0.2633 0.2552 0.1696 0.1467
#> [9,] 0.1598 0.2161 0.5178 0.0456 0.4782 0.2344 0.3599 0.2785 0.1807 0.0352
#> [10,] 0.7673 0.5955 0.4731 0.0713 0.4840 0.4340 0.3954 0.4837 0.5379 0.4485
#> [11,] 0.3837 0.3514 0.2654 0.0445 0.1760 0.1599 0.0866 0.0590 0.0813 0.0492
#> [12,] 0.3186 0.2871 0.2921 0.0108 0.2806 0.2682 0.2112 0.1513 0.1789 0.1850
#> [13,] 0.4801 0.5856 0.4993 0.0518 0.2866 0.0601 0.1167 0.2737 0.2812 0.2078
#> [14,] 0.1803 0.1436 0.1667 0.0218 0.2630 0.2234 0.1239 0.0869 0.2092 0.1499
#> [15,] 0.5647 0.4870 0.5515 0.1085 0.4433 0.5250 0.6075 0.5251 0.1359 0.4268
#> [16,] 0.7848 0.9016 0.8827 0.0358 0.6086 0.2810 0.0906 0.1177 0.2694 0.5214
#> [17,] 0.7775 0.4424 0.1416 0.0203 0.3508 0.4482 0.4208 0.3054 0.2235 0.2611
#> [18,] 0.3319 0.4237 0.1801 0.0608 0.3743 0.4627 0.1614 0.2494 0.3202 0.2265
#> [19,] 0.7356 0.7792 0.6788 0.0608 0.5259 0.2762 0.1545 0.2019 0.2231 0.4221
#> [20,] 0.1073 0.1373 0.1331 0.0304 0.1454 0.1115 0.0440 0.0762 0.1381 0.0831
#> [21,] 0.0948 0.1700 0.1215 0.0250 0.1282 0.0386 0.1329 0.2331 0.2468 0.1960
#> [22,] 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> [23,] 0.5917 0.4899 0.3439 0.0445 0.2366 0.1716 0.1013 0.0766 0.0845 0.0260
#> [24,] 0.0888 0.0836 0.0894 0.0583 0.1547 0.2318 0.2225 0.1035 0.1721 0.2017
#> [25,] 0.2373 0.2843 0.2241 0.0441 0.2715 0.3363 0.2546 0.1867 0.2160 0.1278
#> [26,] 0.1708 0.1979 0.1880 0.0848 0.1108 0.1702 0.0585 0.0638 0.1391 0.0638
#> [27,] 0.2692 0.1888 0.0712 0.0440 0.1062 0.0694 0.0300 0.0893 0.1459 0.1348
#> [28,] 0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> [29,] 0.8459 0.7073 0.6697 0.0494 0.6326 0.5102 0.4161 0.2816 0.1705 0.1421
#> [30,] 0.3167 0.4133 0.6281 0.0688 0.4977 0.2613 0.4697 0.4806 0.4921 0.5294
#> [31,] 0.1781 0.1586 0.3001 0.1497 0.2208 0.1455 0.2895 0.3203 0.1414 0.0629
#> [32,] 0.1073 0.2023 0.1794 0.1229 0.0227 0.1313 0.1775 0.1549 0.1626 0.0708
#> [33,] 0.8420 0.9136 0.7713 0.1234 0.4882 0.3724 0.4469 0.4586 0.4491 0.5616
#> [34,] 0.1605 0.2061 0.0734 0.0622 0.0202 0.1638 0.1583 0.1830 0.1886 0.1008
#> [35,] 0.2959 0.1587 0.1681 0.0444 0.0842 0.1173 0.1754 0.2728 0.1705 0.0194
#> [36,] 0.2554 0.2054 0.1614 0.0760 0.2232 0.1773 0.2293 0.2521 0.1464 0.0673
#> [37,] 0.1681 0.2633 0.3198 0.1498 0.1933 0.0934 0.0443 0.0780 0.0722 0.0405
#> [38,] 0.3725 0.3372 0.3803 0.4264 0.4181 0.3603 0.2711 0.1653 0.1951 0.2811
#> [39,] 0.6692 0.6097 0.4943 0.0207 0.2744 0.0510 0.2834 0.2825 0.4256 0.2641
#> [40,] 0.4072 0.3170 0.2863 0.0113 0.2634 0.0541 0.1874 0.3459 0.4646 0.4366
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.0985 0.1258 0.0954 0.0489 0.0167 0.0241 0.0042 0.0086 0.0046 0.0126
#> [2,] 0.0798 0.0701 0.0526 0.0241 0.1615 0.0117 0.0122 0.0122 0.0114 0.0098
#> [3,] 0.2187 0.1840 0.1477 0.0971 0.0759 0.0224 0.0151 0.0105 0.0024 0.0018
#> [4,] 0.0640 0.0911 0.0980 0.0563 0.0262 0.0187 0.0088 0.0042 0.0175 0.0171
#> [5,] 0.1181 0.1150 0.0550 0.0293 0.1675 0.0183 0.0104 0.0117 0.0101 0.0061
#> [6,] 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> [7,] 0.1700 0.1829 0.1403 0.0506 0.1081 0.0224 0.0095 0.0031 0.0103 0.0078
#> [8,] 0.1286 0.0926 0.0716 0.0325 0.0436 0.0258 0.0136 0.0044 0.0028 0.0021
#> [9,] 0.0473 0.0322 0.0408 0.0163 0.0067 0.0088 0.0121 0.0067 0.0032 0.0109
#> [10,] 0.2674 0.1541 0.1359 0.0941 0.1075 0.0261 0.0079 0.0164 0.0120 0.0113
#> [11,] 0.0417 0.0495 0.0367 0.0115 0.0427 0.0118 0.0133 0.0096 0.0014 0.0049
#> [12,] 0.1717 0.0898 0.0656 0.0445 0.0215 0.0110 0.0024 0.0062 0.0072 0.0113
#> [13,] 0.0660 0.0491 0.0345 0.0172 0.1072 0.0287 0.0027 0.0208 0.0048 0.0199
#> [14,] 0.0676 0.0899 0.0927 0.0658 0.0862 0.0086 0.0216 0.0153 0.0121 0.0096
#> [15,] 0.4442 0.2193 0.0900 0.1200 0.0666 0.0628 0.0234 0.0309 0.0127 0.0082
#> [16,] 0.4232 0.2340 0.1928 0.1092 0.0232 0.0507 0.0228 0.0099 0.0065 0.0085
#> [17,] 0.2798 0.2392 0.2021 0.1326 0.0385 0.0358 0.0128 0.0172 0.0138 0.0079
#> [18,] 0.1146 0.0476 0.0943 0.0824 0.0233 0.0171 0.0244 0.0258 0.0143 0.0226
#> [19,] 0.3067 0.1329 0.1349 0.1057 0.0617 0.0499 0.0206 0.0073 0.0081 0.0303
#> [20,] 0.0654 0.0844 0.0595 0.0497 0.0339 0.0313 0.0154 0.0106 0.0097 0.0022
#> [21,] 0.1985 0.1570 0.0921 0.0549 0.0596 0.0194 0.0166 0.0132 0.0027 0.0022
#> [22,] 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> [23,] 0.0333 0.0205 0.0309 0.0101 0.0667 0.0095 0.0047 0.0072 0.0054 0.0022
#> [24,] 0.1787 0.1112 0.0398 0.0305 0.0915 0.0084 0.0039 0.0053 0.0029 0.0020
#> [25,] 0.0768 0.1070 0.0946 0.0636 0.0630 0.0227 0.0128 0.0173 0.0135 0.0114
#> [26,] 0.0581 0.0641 0.1044 0.0732 0.1127 0.0275 0.0146 0.0091 0.0045 0.0043
#> [27,] 0.0391 0.0546 0.0469 0.0201 0.0657 0.0095 0.0155 0.0091 0.0151 0.0080
#> [28,] 0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> [29,] 0.0971 0.0879 0.0863 0.0355 0.0253 0.0233 0.0252 0.0043 0.0048 0.0076
#> [30,] 0.2216 0.1401 0.1888 0.0947 0.0887 0.0134 0.0310 0.0237 0.0078 0.0144
#> [31,] 0.0734 0.0805 0.0608 0.0565 0.1284 0.0286 0.0154 0.0154 0.0156 0.0054
#> [32,] 0.0129 0.0795 0.0762 0.0117 0.1437 0.0061 0.0257 0.0089 0.0262 0.0108
#> [33,] 0.4305 0.0945 0.0794 0.0274 0.1276 0.0154 0.0140 0.0455 0.0213 0.0082
#> [34,] 0.0663 0.0183 0.0404 0.0108 0.0080 0.0143 0.0091 0.0038 0.0096 0.0142
#> [35,] 0.0213 0.0354 0.0420 0.0093 0.0249 0.0204 0.0199 0.0173 0.0163 0.0055
#> [36,] 0.0965 0.1492 0.1128 0.0463 0.1218 0.0193 0.0140 0.0027 0.0068 0.0150
#> [37,] 0.0553 0.1081 0.1139 0.0767 0.1436 0.0265 0.0215 0.0331 0.0111 0.0088
#> [38,] 0.2246 0.1921 0.1500 0.0665 0.4010 0.0193 0.0156 0.0362 0.0210 0.0154
#> [39,] 0.1386 0.1051 0.1343 0.0383 0.0954 0.0324 0.0232 0.0027 0.0065 0.0159
#> [40,] 0.2581 0.1319 0.0505 0.0112 0.0497 0.0059 0.0041 0.0056 0.0104 0.0079
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0036 0.0035 0.0034 0.0079 0.0036 0.1354 0.0048 0.1465 0.1123 0.1945
#> [2,] 0.0027 0.0025 0.0026 0.0050 0.0073 0.0887 0.0022 0.0596 0.1071 0.3175
#> [3,] 0.0057 0.0092 0.0009 0.0086 0.0110 0.0679 0.0052 0.0970 0.1473 0.2164
#> [4,] 0.0079 0.0050 0.0112 0.0179 0.0294 0.0351 0.0063 0.0362 0.0535 0.0258
#> [5,] 0.0031 0.0099 0.0080 0.0107 0.0161 0.0418 0.0133 0.0723 0.0828 0.0494
#> [6,] 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> [7,] 0.0077 0.0094 0.0031 0.0030 0.0013 0.1164 0.0069 0.1398 0.1009 0.1147
#> [8,] 0.0022 0.0048 0.0138 0.0140 0.0028 0.0668 0.0064 0.0609 0.0131 0.0899
#> [9,] 0.0164 0.0151 0.0070 0.0085 0.0117 0.0890 0.0056 0.1798 0.1741 0.1598
#> [10,] 0.0021 0.0097 0.0072 0.0060 0.0017 0.1019 0.0036 0.1606 0.2119 0.3061
#> [11,] 0.0039 0.0029 0.0078 0.0047 0.0021 0.0766 0.0011 0.1458 0.1430 0.1894
#> [12,] 0.0012 0.0022 0.0025 0.0059 0.0039 0.0136 0.0048 0.0659 0.0954 0.0786
#> [13,] 0.0126 0.0022 0.0037 0.0034 0.0114 0.2587 0.0077 0.2304 0.2067 0.3416
#> [14,] 0.0196 0.0042 0.0066 0.0099 0.0083 0.1801 0.0124 0.1916 0.1896 0.2960
#> [15,] 0.0281 0.0117 0.0092 0.0147 0.0157 0.1800 0.0129 0.1108 0.2794 0.1408
#> [16,] 0.0166 0.0110 0.0190 0.0141 0.0068 0.1267 0.0086 0.2417 0.2661 0.4346
#> [17,] 0.0037 0.0051 0.0258 0.0102 0.0037 0.0534 0.0037 0.2140 0.3110 0.2837
#> [18,] 0.0187 0.0185 0.0110 0.0094 0.0078 0.1048 0.0112 0.1338 0.0644 0.1522
#> [19,] 0.0190 0.0212 0.0126 0.0201 0.0210 0.1207 0.0041 0.0944 0.4223 0.5744
#> [20,] 0.0052 0.0072 0.0056 0.0038 0.0043 0.0860 0.0030 0.1738 0.1351 0.1063
#> [21,] 0.0059 0.0016 0.0025 0.0017 0.0027 0.0252 0.0027 0.0958 0.0991 0.1419
#> [22,] 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> [23,] 0.0016 0.0029 0.0058 0.0050 0.0024 0.0771 0.0030 0.0499 0.0906 0.1229
#> [24,] 0.0013 0.0029 0.0020 0.0062 0.0026 0.1267 0.0052 0.1577 0.1927 0.2361
#> [25,] 0.0062 0.0157 0.0088 0.0036 0.0053 0.0921 0.0030 0.1368 0.1078 0.1552
#> [26,] 0.0043 0.0098 0.0054 0.0051 0.0065 0.1103 0.0103 0.1349 0.2337 0.3113
#> [27,] 0.0018 0.0078 0.0045 0.0026 0.0036 0.0742 0.0024 0.1380 0.1099 0.1384
#> [28,] 0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> [29,] 0.0124 0.0105 0.0054 0.0032 0.0073 0.0806 0.0063 0.0701 0.0738 0.0117
#> [30,] 0.0170 0.0012 0.0109 0.0036 0.0043 0.0932 0.0018 0.0955 0.2140 0.2546
#> [31,] 0.0030 0.0048 0.0087 0.0101 0.0095 0.1165 0.0068 0.1285 0.1684 0.1830
#> [32,] 0.0138 0.0187 0.0230 0.0057 0.0113 0.1190 0.0131 0.0884 0.0907 0.2107
#> [33,] 0.0124 0.0167 0.0103 0.0205 0.0178 0.1731 0.0187 0.1948 0.4262 0.6828
#> [34,] 0.0190 0.0140 0.0099 0.0092 0.0052 0.0789 0.0075 0.1440 0.1451 0.1789
#> [35,] 0.0045 0.0068 0.0041 0.0052 0.0194 0.0637 0.0105 0.0422 0.1130 0.1911
#> [36,] 0.0012 0.0133 0.0048 0.0244 0.0077 0.1538 0.0074 0.1192 0.1229 0.2119
#> [37,] 0.0158 0.0122 0.0038 0.0101 0.0228 0.0561 0.0124 0.0832 0.0672 0.1372
#> [38,] 0.0180 0.0013 0.0106 0.0127 0.0178 0.1791 0.0231 0.1853 0.0055 0.1929
#> [39,] 0.0072 0.0167 0.0180 0.0084 0.0090 0.0986 0.0032 0.1539 0.1601 0.3109
#> [40,] 0.0014 0.0054 0.0015 0.0006 0.0081 0.0998 0.0043 0.1326 0.1117 0.2984
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.7992546 0.8972946 0.4352650 0.5045213 0.8118108 0.5724825 0.8194657
#> [2,] 0.7950786 0.8705549 0.3272057 0.4000732 0.8040424 0.5011654 0.7541773
#> [3,] 0.7539098 0.8409624 0.3421871 0.4334809 0.7590053 0.5103377 0.7058359
#> [4,] 0.6985046 0.7614592 0.2865709 0.3783498 0.7527971 0.4872606 0.5817593
#> [5,] 0.7969922 0.9165737 0.4338128 0.4225672 0.8211439 0.5330249 0.8341136
#> [6,] 0.6902538 0.7709825 0.2678280 0.3601905 0.7316961 0.4249745 0.5868548
#> [7,] 0.7567204 0.9019418 0.3900660 0.3859346 0.7938263 0.4674514 0.7850781
#> [8,] 0.8014264 0.8982846 0.4161084 0.5031674 0.8152439 0.5778758 0.8050858
#> [9,] 0.7910850 0.8743224 0.3477485 0.4569473 0.8045243 0.5456938 0.7651007
#> [10,] 0.7446607 0.8227263 0.2240336 0.3362478 0.7635388 0.4581821 0.6564565
#> [11,] 0.7171274 0.8560788 0.4657800 0.4336869 0.7990712 0.5016899 0.7655976
#> [12,] 0.7693787 0.8747597 0.4450984 0.4965977 0.7976832 0.5840688 0.7964144
#> [13,] 0.7263763 0.8888823 0.3307373 0.3266552 0.7840945 0.4744171 0.7646473
#> [14,] 0.7285970 0.8896675 0.3910350 0.3399394 0.7614465 0.4451015 0.7682180
#> [15,] 0.6986581 0.8300260 0.2817272 0.3185596 0.7579103 0.4432592 0.6802229
#> [16,] 0.5984073 0.7167504 0.2278594 0.2144807 0.7016336 0.3168654 0.5423940
#> [17,] 0.7092421 0.8740599 0.3375399 0.3332168 0.7635529 0.4674864 0.7434486
#> [18,] 0.7648902 0.8704538 0.3646676 0.4274796 0.7899176 0.5284360 0.7569166
#> [19,] 0.6017228 0.7331397 0.2516356 0.2396770 0.7042619 0.3476154 0.5622417
#> [20,] 0.7904102 0.9262133 0.4919886 0.4665200 0.8227812 0.5714195 0.8549463
#> [21,] 0.8153727 0.9137066 0.4434056 0.4975824 0.8251782 0.5709408 0.8442824
#> [22,] 0.7514891 0.8697510 0.4587789 0.5153544 0.7698291 0.5974334 0.7761078
#> [23,] 0.8499401 0.9172188 0.4077986 0.5229691 0.8674775 0.6058775 0.8486320
#> [24,] 0.7890443 0.9065218 0.4501982 0.4482457 0.8034121 0.5206703 0.8146746
#> [25,] 0.8172609 0.9293867 0.4474390 0.4469603 0.8314618 0.5498818 0.8511020
#> [26,] 0.7832675 0.8728290 0.3944083 0.4727770 0.7886674 0.5588198 0.7870079
#> [27,] 0.8217870 0.9379403 0.4810255 0.4769122 0.8494710 0.5799562 0.8785209
#> [28,] 0.7839412 0.9093645 0.3885014 0.4227659 0.8038722 0.4853778 0.7979141
#> [29,] 0.6757610 0.7389350 0.2869889 0.3543231 0.7499729 0.4701214 0.5592468
#> [30,] 0.7709560 0.8839662 0.2967798 0.3367247 0.7934549 0.4543508 0.7593953
#> [31,] 0.6900044 0.8296363 0.3942458 0.3782629 0.7215428 0.4640562 0.6904813
#> [32,] 0.6139904 0.7846815 0.3699712 0.3078845 0.6668888 0.3961573 0.6118474
#> [33,] 0.6292386 0.7468672 0.1974921 0.2048714 0.7126850 0.3174869 0.5566374
#> [34,] 0.7444848 0.8671110 0.4527979 0.4681236 0.7536469 0.5147420 0.7458508
#> [35,] 0.7985128 0.8714580 0.3827014 0.5166339 0.8135837 0.5823142 0.7700614
#> [36,] 0.8114477 0.9302878 0.4330663 0.4419983 0.8277867 0.5392934 0.8532080
#> [37,] 0.6379014 0.7962682 0.3663938 0.3213513 0.7073266 0.4120040 0.6351282
#> [38,] 0.5805004 0.7361377 0.2703659 0.2790201 0.6369117 0.3927977 0.5635306
#> [39,] 0.7453461 0.8460528 0.3273009 0.3707754 0.7788253 0.4900646 0.7372178
#> [40,] 0.7706530 0.8971017 0.3652510 0.3938737 0.8003232 0.5009633 0.8082100
#> [,8] [,9] [,10]
#> [1,] 0.5204564 0.8280565 0.7718266
#> [2,] 0.4762547 0.8421957 0.7398502
#> [3,] 0.4316696 0.7925827 0.7231487
#> [4,] 0.4144523 0.8103927 0.7014196
#> [5,] 0.6362197 0.8610883 0.7454232
#> [6,] 0.3571856 0.7707220 0.7109340
#> [7,] 0.6303009 0.8268823 0.6757580
#> [8,] 0.5418023 0.8433841 0.7781248
#> [9,] 0.4928802 0.8441733 0.7298362
#> [10,] 0.3080518 0.8282645 0.7178547
#> [11,] 0.6677654 0.8206449 0.6964010
#> [12,] 0.5684280 0.8202656 0.7531608
#> [13,] 0.5790160 0.8328866 0.6426722
#> [14,] 0.6317789 0.7904740 0.6462560
#> [15,] 0.3883862 0.7893638 0.6838847
#> [16,] 0.4276117 0.7368110 0.5846136
#> [17,] 0.5199700 0.8176217 0.6498495
#> [18,] 0.4838704 0.8311013 0.7371362
#> [19,] 0.4445319 0.7178339 0.5752119
#> [20,] 0.7052289 0.8485103 0.7239521
#> [21,] 0.5677824 0.8449166 0.7785581
#> [22,] 0.5526715 0.7809379 0.7340029
#> [23,] 0.5710767 0.9052227 0.8011258
#> [24,] 0.6627207 0.8446893 0.7302641
#> [25,] 0.6357103 0.8641182 0.7634994
#> [26,] 0.4866827 0.8080856 0.7424151
#> [27,] 0.7132456 0.8818924 0.7438697
#> [28,] 0.6238120 0.8459109 0.6928909
#> [29,] 0.4310129 0.8078940 0.6813481
#> [30,] 0.4305810 0.8105328 0.7522655
#> [31,] 0.5214119 0.7352734 0.6827533
#> [32,] 0.5881676 0.6824268 0.5411764
#> [33,] 0.3378868 0.7429222 0.6132313
#> [34,] 0.5872141 0.7734495 0.7022485
#> [35,] 0.4867949 0.8551870 0.7559280
#> [36,] 0.6293123 0.8565515 0.7448964
#> [37,] 0.6172418 0.7439675 0.5680987
#> [38,] 0.4091072 0.6904875 0.5710666
#> [39,] 0.4991985 0.8218001 0.6966153
#> [40,] 0.5104915 0.8125522 0.7458708
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.5513003 0.4486997
#> [2,] 0.5559800 0.4440200
#> [3,] 0.5519186 0.4480814
#> [4,] 0.5473399 0.4526601
#> [5,] 0.5553483 0.4446517
#> [6,] 0.5510512 0.4489488
#> [7,] 0.5564926 0.4435074
#> [8,] 0.5505455 0.4494545
#> [9,] 0.5522797 0.4477203
#> [10,] 0.5564047 0.4435953
#> [11,] 0.5492293 0.4507707
#> [12,] 0.5485665 0.4514335
#> [13,] 0.5573870 0.4426130
#> [14,] 0.5579784 0.4420216
#> [15,] 0.5560416 0.4439584
#> [16,] 0.5542440 0.4457560
#> [17,] 0.5565191 0.4434809
#> [18,] 0.5528698 0.4471302
#> [19,] 0.5534415 0.4465585
#> [20,] 0.5523570 0.4476430
#> [21,] 0.5526108 0.4473892
#> [22,] 0.5469290 0.4530710
#> [23,] 0.5510598 0.4489402
#> [24,] 0.5536457 0.4463543
#> [25,] 0.5552820 0.4447180
#> [26,] 0.5518430 0.4481570
#> [27,] 0.5531679 0.4468321
#> [28,] 0.5558216 0.4441784
#> [29,] 0.5466239 0.4533761
#> [30,] 0.5602531 0.4397469
#> [31,] 0.5522855 0.4477145
#> [32,] 0.5519447 0.4480553
#> [33,] 0.5578958 0.4421042
#> [34,] 0.5503493 0.4496507
#> [35,] 0.5486957 0.4513043
#> [36,] 0.5558923 0.4441077
#> [37,] 0.5513437 0.4486563
#> [38,] 0.5510168 0.4489832
#> [39,] 0.5546317 0.4453683
#> [40,] 0.5570654 0.4429346
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 1.3816419 2.167519 -0.26040174 0.018085542 1.4618198 0.291986907
#> [2,] 1.3558148 1.905874 -0.72085041 -0.405159991 1.4117536 0.004661799
#> [3,] 1.1195744 1.665406 -0.65356276 -0.267663024 1.1472337 0.041356830
#> [4,] 0.8401872 1.160696 -0.91209717 -0.496558492 1.1135863 -0.050968523
#> [5,] 1.3676007 2.396678 -0.26631159 -0.312243721 1.5241169 0.132292364
#> [6,] 0.8013061 1.213867 -1.00567060 -0.574537385 1.0032451 -0.302385406
#> [7,] 1.1347822 2.218988 -0.44703488 -0.464433656 1.3481457 -0.130378765
#> [8,] 1.3952336 2.178308 -0.33876958 0.012669969 1.4844505 0.314059180
#> [9,] 1.3314781 1.939729 -0.62895058 -0.172638318 1.4148152 0.183286733
#> [10,] 1.0703354 1.534929 -1.24231321 -0.680060589 1.1721801 -0.167663227
#> [11,] 0.9302569 1.783096 -0.13709444 -0.266824169 1.3804993 0.006759652
#> [12,] 1.2048062 1.943715 -0.22049557 -0.013609601 1.3718768 0.339498867
#> [13,] 0.9763146 2.079374 -0.70485217 -0.723352236 1.2896889 -0.102420925
#> [14,] 0.9875160 2.087349 -0.44296383 -0.663564253 1.1606262 -0.220482994
#> [15,] 0.8409159 1.585811 -0.93591041 -0.760399382 1.1412568 -0.227945063
#> [16,] 0.3988333 0.928399 -1.22043785 -1.298125497 0.8550890 -0.768214658
#> [17,] 0.8917062 1.937342 -0.67427643 -0.693671418 1.1722578 -0.130238023
#> [18,] 1.1796798 1.904977 -0.55516215 -0.292141625 1.3244288 0.113866787
#> [19,] 0.4126487 1.010611 -1.08990796 -1.154451149 0.8676759 -0.629537682
#> [20,] 1.3273996 2.529926 -0.03204849 -0.134120889 1.5353054 0.287645072
#> [21,] 1.4853060 2.359757 -0.22735201 -0.009670329 1.5518324 0.285690537
#> [22,] 1.1065702 1.898759 -0.16525941 0.061436961 1.2073462 0.394782345
#> [23,] 1.7341314 2.405145 -0.37307356 0.091941049 1.8788370 0.430016150
#> [24,] 1.3191746 2.271887 -0.19987004 -0.207761159 1.4077582 0.082728281
#> [25,] 1.4978989 2.577307 -0.21102359 -0.212959857 1.5960231 0.200192967
#> [26,] 1.2848102 1.926207 -0.42881925 -0.108999629 1.3169112 0.236373602
#> [27,] 1.5285016 2.715590 -0.07593464 -0.092416793 1.7304584 0.322593572
#> [28,] 1.2887836 2.305900 -0.45361591 -0.311429221 1.4106739 -0.058505347
#> [29,] 0.7343585 1.040441 -0.91005347 -0.600089961 1.0984678 -0.119657080
#> [30,] 1.2137175 2.030537 -0.86267969 -0.677924260 1.3458780 -0.183106890
#> [31,] 0.8001399 1.583052 -0.42949981 -0.496927956 0.9521274 -0.144023514
#> [32,] 0.4641170 1.293160 -0.53234055 -0.810027963 0.6941471 -0.421502379
#> [33,] 0.5289518 1.081973 -1.40204339 -1.356121403 0.9084604 -0.765345055
#> [34,] 1.0694104 1.875653 -0.18937224 -0.127678749 1.1181582 0.058985139
#> [35,] 1.3770250 1.913912 -0.47809781 0.066560010 1.4734667 0.332280747
#> [36,] 1.4594445 2.591119 -0.26935137 -0.233056067 1.5700219 0.157498309
#> [37,] 0.5662673 1.363132 -0.54771908 -0.747568607 0.8824354 -0.355687113
#> [38,] 0.3248281 1.025990 -0.99276680 -0.949327270 0.5619851 -0.435567329
#> [39,] 1.0739434 1.703972 -0.72041809 -0.528891826 1.2588337 -0.039746957
#> [40,] 1.2120022 2.165428 -0.55264485 -0.431058036 1.3883157 0.003853088
#> [,7] [,8] [,9] [,10]
#> [1,] 1.5127315 0.081871403 1.5719155 1.2186542
#> [2,] 1.1210171 -0.095052696 1.6746564 1.0451901
#> [3,] 0.8752448 -0.275042637 1.3405642 0.9601342
#> [4,] 0.3299996 -0.345589616 1.4525640 0.8540672
#> [5,] 1.6150664 0.558993896 1.8243588 1.0743493
#> [6,] 0.3509783 -0.587600636 1.2123925 0.8999246
#> [7,] 1.2955086 0.533507767 1.5636908 0.7343447
#> [8,] 1.4183895 0.167600409 1.6836264 1.2547721
#> [9,] 1.1808504 -0.028481200 1.6896133 0.9937917
#> [10,] 0.6475428 -0.809243329 1.5733770 0.9338452
#> [11,] 1.1836176 0.698095400 1.5207227 0.8302180
#> [12,] 1.3640332 0.275440293 1.5181479 1.1155419
#> [13,] 1.1783297 0.318735115 1.6062245 0.5869814
#> [14,] 1.1982762 0.539855711 1.3277847 0.6026224
#> [15,] 0.7547963 -0.454100988 1.3210947 0.7716822
#> [16,] 0.1699842 -0.291601961 1.0294588 0.3417419
#> [17,] 1.0639705 0.079922596 1.5003164 0.6183776
#> [18,] 1.1358483 -0.064540695 1.5934526 1.0311366
#> [19,] 0.2502648 -0.222789485 0.9337422 0.3031481
#> [20,] 1.7739345 0.872323084 1.7229646 0.9641510
#> [21,] 1.6904426 0.272809193 1.6952747 1.2572835
#> [22,] 1.2431266 0.211470477 1.2711404 1.0150278
#> [23,] 1.7239114 0.286245593 2.2566509 1.3933458
#> [24,] 1.4806755 0.675442376 1.6935409 0.9959629
#> [25,] 1.7432707 0.556793580 1.8499246 1.1719614
#> [26,] 1.3069832 -0.053281891 1.4376186 1.0585591
#> [27,] 1.9784974 0.911199774 2.0104742 1.0661798
#> [28,] 1.3733083 0.505759834 1.7028827 0.8136696
#> [29,] 0.2381058 -0.277719798 1.4363835 0.7599738
#> [30,] 1.1493672 -0.279481251 1.4534757 1.1107315
#> [31,] 0.8023705 0.085700104 1.0215447 0.7664537
#> [32,] 0.4550844 0.356395407 0.7649469 0.1650794
#> [33,] 0.2275259 -0.672725462 1.0612127 0.4609154
#> [34,] 1.0766040 0.352460471 1.2278928 0.8580282
#> [35,] 1.2086577 -0.052832794 1.7758770 1.1304829
#> [36,] 1.7599871 0.529267861 1.7869383 1.0715754
#> [37,] 0.5542809 0.477857232 1.0666929 0.2740983
#> [38,] 0.2555032 -0.367657534 0.8023992 0.2862043
#> [39,] 1.0315578 -0.003205877 1.5285913 0.8312319
#> [40,] 1.4384210 0.041972300 1.4666795 1.0767097
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.07675028 -0.1291757
#> [2,] 0.07995102 -0.1449118
#> [3,] 0.07666680 -0.1317587
#> [4,] 0.06662377 -0.1233048
#> [5,] 0.08034182 -0.1419624
#> [6,] 0.07264297 -0.1322757
#> [7,] 0.07957783 -0.1473615
#> [8,] 0.07501287 -0.1278621
#> [9,] 0.07476968 -0.1351164
#> [10,] 0.08092635 -0.1456567
#> [11,] 0.06865620 -0.1289010
#> [12,] 0.07156450 -0.1233161
#> [13,] 0.07922609 -0.1513378
#> [14,] 0.08234055 -0.1506209
#> [15,] 0.07940197 -0.1457104
#> [16,] 0.06869135 -0.1491421
#> [17,] 0.08027160 -0.1467750
#> [18,] 0.07728919 -0.1349836
#> [19,] 0.06858592 -0.1459997
#> [20,] 0.07671461 -0.1334839
#> [21,] 0.07791164 -0.1333132
#> [22,] 0.07151539 -0.1167547
#> [23,] 0.07315097 -0.1318027
#> [24,] 0.07813574 -0.1372763
#> [25,] 0.08133435 -0.1407014
#> [26,] 0.07626131 -0.1318586
#> [27,] 0.07660087 -0.1368779
#> [28,] 0.07886613 -0.1453551
#> [29,] 0.06391539 -0.1231237
#> [30,] 0.08629905 -0.1558904
#> [31,] 0.07726644 -0.1326429
#> [32,] 0.07276182 -0.1357692
#> [33,] 0.07702491 -0.1556018
#> [34,] 0.07608082 -0.1260014
#> [35,] 0.07118285 -0.1242192
#> [36,] 0.08109815 -0.1434094
#> [37,] 0.07002155 -0.1360795
#> [38,] 0.07040281 -0.1343770
#> [39,] 0.07594696 -0.1434556
#> [40,] 0.08162109 -0.1476396
#>
#>
#> $e
#> [,1] [,2]
#> [1,] 0.4486997 -0.4486997
#> [2,] 0.4440200 -0.4440200
#> [3,] 0.4480814 -0.4480814
#> [4,] -0.5473399 0.5473399
#> [5,] 0.4446517 -0.4446517
#> [6,] 0.4489488 -0.4489488
#> [7,] -0.5564926 0.5564926
#> [8,] -0.5505455 0.5505455
#> [9,] -0.5522797 0.5522797
#> [10,] 0.4435953 -0.4435953
#> [11,] 0.4507707 -0.4507707
#> [12,] -0.5485665 0.5485665
#> [13,] -0.5573870 0.5573870
#> [14,] 0.4420216 -0.4420216
#> [15,] 0.4439584 -0.4439584
#> [16,] 0.4457560 -0.4457560
#> [17,] -0.5565191 0.5565191
#> [18,] 0.4471302 -0.4471302
#> [19,] 0.4465585 -0.4465585
#> [20,] -0.5523570 0.5523570
#> [21,] 0.4473892 -0.4473892
#> [22,] -0.5469290 0.5469290
#> [23,] -0.5510598 0.5510598
#> [24,] 0.4463543 -0.4463543
#> [25,] 0.4447180 -0.4447180
#> [26,] 0.4481570 -0.4481570
#> [27,] -0.5531679 0.5531679
#> [28,] -0.5558216 0.5558216
#> [29,] -0.5466239 0.5466239
#> [30,] 0.4397469 -0.4397469
#> [31,] 0.4477145 -0.4477145
#> [32,] 0.4480553 -0.4480553
#> [33,] 0.4421042 -0.4421042
#> [34,] -0.5503493 0.5503493
#> [35,] -0.5486957 0.5486957
#> [36,] 0.4441077 -0.4441077
#> [37,] 0.4486563 -0.4486563
#> [38,] 0.4489832 -0.4489832
#> [39,] -0.5546317 0.5546317
#> [40,] 0.4429346 -0.4429346
#>
#> $L
#> [1] 0.6905190 0.6898645 0.6855480 0.6993239 0.7043109 0.6753381
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.4782609