Classification Neural Network Learner
Source:R/learner_deepnet_classif_nnTrain.R
mlr_learners_classif.nnTrain.RdCalls deepnet::nn.train() from deepnet.
Parameters
| Id | Type | Default | Levels | Range |
| activationfun | character | sigm | sigm, linear, tanh | - |
| batchsize | integer | 100 | \([1, \infty)\) | |
| hidden | untyped | 10L | - | |
| hidden_dropout | numeric | 0 | \([0, 1]\) | |
| initB | untyped | - | - | |
| initW | untyped | - | - | |
| learningrate | numeric | 0.8 | \([0, \infty)\) | |
| learningrate_scale | numeric | 1 | \([0, \infty)\) | |
| max_number_of_layers | integer | - | \([1, \infty)\) | |
| momentum | numeric | 0.5 | \([0, \infty)\) | |
| numepochs | integer | 3 | \([1, \infty)\) | |
| output | character | - | sigm, linear, softmax | - |
| visible_dropout | numeric | 0 | \([0, 1]\) |
References
Rong, Xiao (2022). “deepnet: Deep Learning Toolkit in R.” R package version 0.2.1. doi:10.32614/CRAN.package.deepnet , 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/basics.html#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 -> LearnerClassifNNTrain
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()
Examples
# Define the Learner
learner = lrn("classif.nnTrain")
print(learner)
#>
#> ── <LearnerClassifNNTrain> (classif.nnTrain): Training Neural Network by Backpro
#> • Model: -
#> • Parameters: output=softmax
#> • 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'
# 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)
#> $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
#> [1,] -0.054387598 -0.087911550 -0.02589091 0.071334165 -0.0408102609
#> [2,] 0.029431428 0.009356656 -0.08601154 -0.090852929 -0.0273464434
#> [3,] -0.083320154 -0.015199847 0.07841108 0.059551892 -0.1026793460
#> [4,] 0.030786597 -0.006479945 0.02116500 0.086251517 0.0827145253
#> [5,] -0.096219629 0.030395479 0.03698379 -0.053977225 -0.0004837031
#> [6,] -0.073254013 -0.011714423 -0.08311400 0.044768270 0.0680935342
#> [7,] -0.047303590 -0.005106073 -0.03300200 -0.054853019 0.0127723088
#> [8,] -0.011747162 0.024147634 -0.07419071 0.004375797 0.0885995542
#> [9,] -0.063630415 -0.081829349 -0.04376798 0.004088816 -0.0456832555
#> [10,] 0.003788974 0.045497850 0.08340491 0.072118903 0.0433424376
#> V14 V15 V16 V17 V18
#> [1,] -0.024037728 -0.02384060 -0.05268913 -0.018797188 -0.05432112
#> [2,] -0.004808675 0.09384099 0.01024687 0.056194260 -0.03574589
#> [3,] -0.072344875 0.07012144 -0.05974735 0.008828493 0.01883420
#> [4,] 0.048333231 0.03895608 -0.01295125 -0.026892351 0.08476155
#> [5,] 0.013808136 -0.09304575 0.05276597 0.045333371 -0.08176763
#> [6,] 0.044499300 -0.02963585 -0.01913211 -0.090278361 -0.02649219
#> [7,] 0.071479469 -0.04819399 0.09152273 -0.048486786 -0.05790724
#> [8,] 0.078743547 -0.09915866 0.07310077 -0.030099090 0.06736321
#> [9,] -0.010933022 0.07117759 -0.07380888 0.054496481 -0.04123135
#> [10,] 0.019270784 0.02619747 0.05365373 0.078960549 -0.08407716
#> V19 V2 V20 V21 V22
#> [1,] -0.007505124 0.053647313 -0.05327921 -0.061919380 -0.0160300962
#> [2,] -0.044421095 0.075659730 0.08998972 -0.027694302 0.0869122238
#> [3,] 0.050433223 0.073839692 -0.03191984 0.027226300 0.0853580468
#> [4,] 0.060908515 -0.010467259 0.03856277 -0.016050414 -0.0841147349
#> [5,] -0.003947247 0.089196021 -0.01733409 0.001945116 0.0002108397
#> [6,] -0.047478455 -0.030084174 -0.01734080 -0.029959106 0.0370508927
#> [7,] 0.019249457 0.064182358 -0.01285598 0.019018981 -0.0523469438
#> [8,] -0.047175531 -0.042206028 -0.04228937 0.013623055 0.0489384265
#> [9,] -0.024323646 -0.072902260 0.06529334 -0.101178856 -0.0759137196
#> [10,] -0.070405371 -0.003964031 -0.03608069 0.051149143 -0.0067827190
#> V23 V24 V25 V26 V27 V28
#> [1,] 0.06820470 -0.02100492 -0.02922396 0.06870726 -0.02046882 0.0101557287
#> [2,] 0.01722146 -0.08777429 -0.08994702 0.08447281 -0.05615855 -0.0003883808
#> [3,] -0.07249206 -0.07006067 -0.03968400 -0.02447803 0.02832744 0.0005764423
#> [4,] 0.03093341 -0.07877684 0.07978293 -0.05881483 -0.08466193 -0.0218379777
#> [5,] -0.05374050 0.01529973 -0.07149079 0.04391329 -0.04592924 -0.1018750846
#> [6,] 0.07987729 0.04296832 -0.01716837 0.08612466 -0.03334717 0.0712525307
#> [7,] -0.11040310 -0.09984671 -0.03840201 -0.06553928 -0.03297250 -0.0875792278
#> [8,] -0.08868075 -0.05176049 0.06183473 -0.09338180 -0.06339671 0.0608794630
#> [9,] -0.02655147 0.08421597 0.07482565 -0.09731252 -0.00155859 -0.0508508335
#> [10,] -0.08789240 0.02171214 -0.02420545 -0.10404049 -0.07117626 -0.0013018756
#> V29 V3 V30 V31 V32
#> [1,] 0.02660526 0.06756603 0.086116768 -0.10464078 0.078892925
#> [2,] 0.01146006 0.09738564 0.001101387 0.07470506 0.068100813
#> [3,] -0.03055509 0.02082242 -0.040935439 0.05740123 0.007241971
#> [4,] -0.04776149 0.07282905 0.030889920 -0.09248917 -0.080867238
#> [5,] -0.08068484 -0.06794752 0.047643668 0.01968838 -0.081475213
#> [6,] 0.02233009 -0.04371297 0.068596430 -0.02868667 -0.099152929
#> [7,] 0.01236215 0.09634745 -0.041812454 0.02130525 0.042693800
#> [8,] 0.08692640 0.08742212 0.062408140 -0.07706007 0.044040182
#> [9,] 0.03817758 0.08913224 -0.052100879 -0.08982520 0.010431224
#> [10,] -0.03978094 -0.02357912 -0.097290716 -0.07798484 0.001205418
#> V33 V34 V35 V36 V37
#> [1,] 0.061708302 -0.02915202 0.072524854 -7.125273e-02 -0.049185948
#> [2,] 0.083721470 0.01705701 -0.017774906 2.988993e-02 -0.057603701
#> [3,] -0.068092103 -0.05713008 0.082068846 2.051940e-02 0.088384625
#> [4,] -0.085940815 -0.09709264 -0.002539242 -9.291383e-02 -0.073314297
#> [5,] 0.068843159 -0.07980150 -0.100273536 9.054664e-05 -0.012738633
#> [6,] 0.067120572 -0.02546426 -0.066961155 -4.282672e-02 -0.060894470
#> [7,] -0.064108543 -0.05316331 0.051110525 -8.007399e-03 0.085143063
#> [8,] -0.023417125 0.01929473 -0.037995468 3.671279e-02 -0.008540491
#> [9,] 0.092219147 -0.02184564 0.015265474 6.879461e-02 0.065262897
#> [10,] 0.008367505 -0.01678079 0.065353815 9.041317e-02 -0.077420018
#> V38 V39 V4 V40 V41
#> [1,] 0.0515006596 0.054893199 -0.087881815 0.087217389 -0.02571718
#> [2,] -0.0541925177 0.006813163 0.027001145 -0.007121246 0.05891829
#> [3,] 0.0775383627 0.048740763 0.006837070 -0.090610859 -0.01929477
#> [4,] 0.0400881862 0.069440132 0.078367047 0.007927477 -0.07079774
#> [5,] 0.0153040057 0.015502973 -0.051799543 -0.067218667 -0.01538931
#> [6,] -0.0604131243 -0.067019030 0.097761356 0.030294513 -0.05196082
#> [7,] -0.0009298416 -0.010188210 0.029902303 0.029215782 0.07430645
#> [8,] -0.0323454778 -0.065494013 -0.006409328 0.001596262 -0.06632840
#> [9,] -0.0284268010 -0.023297856 -0.062194466 -0.025237485 -0.07272513
#> [10,] 0.0392281222 -0.052141116 -0.074576077 -0.005662376 -0.09566737
#> V42 V43 V44 V45 V46 V47
#> [1,] 0.07697038 -0.06274340 0.049345899 0.03865210 0.076242112 0.08890732
#> [2,] -0.01443483 -0.09584628 0.055025352 -0.02974740 -0.008407048 0.09318413
#> [3,] 0.08665954 0.07065708 -0.003026565 0.09736463 -0.071330881 0.08037065
#> [4,] 0.01339574 0.01220536 -0.010649357 0.03695753 -0.017539103 0.00791963
#> [5,] 0.03051768 -0.05645706 0.029546878 0.09144752 -0.034300092 0.03080246
#> [6,] 0.08791242 -0.03382583 0.054954343 0.03087586 -0.095613567 0.03487830
#> [7,] 0.02184956 0.04052185 0.023602404 -0.02113204 0.064683368 0.03185795
#> [8,] 0.04286533 -0.10209118 -0.073001969 0.06144677 0.059377160 -0.03432554
#> [9,] -0.04812794 -0.02404070 -0.055461546 -0.08701827 0.087379158 0.03604779
#> [10,] 0.07333987 0.03516930 -0.098483439 -0.04918599 -0.020208909 0.04962016
#> V48 V49 V5 V50 V51
#> [1,] -0.082249993 -0.057173015 0.070697989 -0.072033334 -0.09312747
#> [2,] -0.085801539 -0.005147519 0.040137804 -0.084083228 0.02232626
#> [3,] -0.081288800 -0.030326140 0.033623731 0.094572456 -0.03671467
#> [4,] -0.065540951 -0.089155407 -0.057761531 0.060089851 -0.01038253
#> [5,] -0.033888458 -0.085269843 0.004125488 0.014313300 0.02738218
#> [6,] 0.004537969 -0.051873137 -0.024216863 -0.012030736 -0.09641886
#> [7,] 0.081094475 0.062578318 -0.058725052 0.031053361 0.08604538
#> [8,] 0.090565120 0.046223089 -0.069546273 0.004498344 0.07605716
#> [9,] -0.008154918 0.022185383 0.054292521 0.082310402 0.06053889
#> [10,] 0.028020759 -0.047119028 0.009368641 0.097576213 -0.05108255
#> V52 V53 V54 V55 V56
#> [1,] -0.027543176 0.054829593 0.025926354 -0.0867877415 0.029662881
#> [2,] -0.005789204 -0.078408346 0.004611183 0.0032175865 0.060271805
#> [3,] -0.093009321 -0.051599575 0.031370903 0.0008891556 0.022941531
#> [4,] -0.048284808 0.029891963 -0.013396674 -0.0276059162 0.068041314
#> [5,] 0.074992452 0.074794897 0.011414356 -0.0722267614 -0.028391093
#> [6,] 0.071875666 -0.091752585 -0.070892187 0.0956732407 -0.036558109
#> [7,] 0.019524105 -0.067354334 0.079556399 -0.0176732105 -0.081972500
#> [8,] -0.076681369 -0.048202461 -0.078504910 -0.0719894227 -0.002670995
#> [9,] -0.051928590 0.010268921 0.033662881 -0.0816852978 0.073286332
#> [10,] -0.091953194 -0.007618504 0.071891838 -0.0590819553 -0.043992947
#> V57 V58 V59 V6 V60
#> [1,] -0.046809754 0.02995352 0.02473763 -0.021370463 -0.071825862
#> [2,] -0.006440332 -0.09861986 -0.08996986 0.049721648 -0.004870839
#> [3,] 0.021948875 -0.01616406 -0.06733525 -0.014968087 0.042110766
#> [4,] 0.069882089 0.05114301 0.07075825 -0.042278509 0.055075235
#> [5,] -0.069174144 -0.01752618 0.02944500 -0.001206979 -0.005195532
#> [6,] -0.087506336 0.06227444 0.06576083 0.087082582 0.056490241
#> [7,] -0.049464298 -0.08793216 -0.05485689 0.020879285 0.074069214
#> [8,] -0.054933923 -0.09498197 0.06327570 0.045500726 0.088626524
#> [9,] 0.037440643 -0.04732017 0.08542718 0.069585815 0.093370804
#> [10,] -0.031719665 -0.06063455 0.01007104 -0.053415721 -0.040550335
#> V7 V8 V9
#> [1,] -0.0658177606 0.01225665 0.06658008
#> [2,] 0.0002815906 -0.04490747 -0.07849690
#> [3,] -0.0007513791 0.05107834 -0.03211571
#> [4,] -0.0621817346 -0.07999740 0.09361930
#> [5,] -0.0271970225 -0.05395309 -0.06897539
#> [6,] 0.0208977754 -0.08526511 -0.02304876
#> [7,] -0.0593873032 0.05730885 -0.10161093
#> [8,] 0.0900444262 0.06229815 0.01670182
#> [9,] 0.0366396023 -0.05541785 -0.01392143
#> [10,] -0.0543836475 -0.03556107 -0.05945687
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.09757796 -0.02080818 0.0595021201 0.03877701 0.04087097 0.02063788
#> [2,] -0.04531863 -0.09193988 -0.0008637218 -0.13875651 -0.03634613 -0.09367507
#> [,7] [,8] [,9] [,10]
#> [1,] -0.08539596 -0.01190725 0.02808189 -0.04474507
#> [2,] -0.07833031 -0.03501165 0.08321088 0.03104055
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] -1.126950e-04 -6.998312e-04 -9.629704e-04 -8.776058e-04 -5.950000e-04
#> [2,] 1.085668e-05 1.109150e-04 8.096229e-05 1.303665e-04 2.426208e-04
#> [3,] 4.511925e-05 3.451963e-04 3.820288e-04 4.218951e-04 4.816123e-04
#> [4,] -1.586549e-04 -9.948293e-04 -1.332893e-03 -1.234339e-03 -9.072457e-04
#> [5,] -1.332884e-05 -5.028625e-05 -1.175500e-04 -6.770668e-05 5.800645e-05
#> [6,] -3.406077e-05 -1.679025e-04 -2.786360e-04 -2.121002e-04 -4.358525e-05
#> [7,] 1.246353e-04 8.527558e-04 1.042769e-03 1.049807e-03 9.855296e-04
#> [8,] 1.157380e-04 8.166288e-04 9.889264e-04 1.008240e-03 9.657417e-04
#> [9,] 2.185878e-04 1.475972e-03 1.841993e-03 1.824578e-03 1.633998e-03
#> [10,] 2.753380e-04 1.865311e-03 2.344589e-03 2.307541e-03 2.024547e-03
#> V14 V15 V16 V17 V18
#> [1,] -3.577360e-04 -6.347426e-05 -1.785456e-05 -0.0000727492 -0.0002318703
#> [2,] 3.215962e-04 4.313151e-04 5.289191e-04 0.0005816950 0.0006370324
#> [3,] 5.133766e-04 5.663856e-04 6.681026e-04 0.0007380551 0.0008311539
#> [4,] -6.314686e-04 -2.905128e-04 -2.903273e-04 -0.0004100464 -0.0006815361
#> [5,] 1.522578e-04 2.776547e-04 3.465042e-04 0.0003659204 0.0003646921
#> [6,] 8.421515e-05 2.528346e-04 3.114791e-04 0.0003017933 0.0002405904
#> [7,] 9.083489e-04 8.302835e-04 9.629164e-04 0.0011078788 0.0013501089
#> [8,] 9.025609e-04 8.440529e-04 9.666142e-04 0.0010891082 0.0012891547
#> [9,] 1.439863e-03 1.225788e-03 1.404380e-03 0.0016357089 0.0020471447
#> [10,] 1.746229e-03 1.430500e-03 1.604553e-03 0.0018542894 0.0023132596
#> V19 V2 V20 V21 V22
#> [1,] -6.856874e-04 -1.536300e-04 -0.0011069077 -0.0012816903 -0.0009886704
#> [2,] 6.162454e-04 1.715306e-05 0.0005788920 0.0005838624 0.0006601014
#> [3,] 9.257280e-04 6.433481e-05 0.0010027068 0.0010644060 0.0010909062
#> [4,] -1.294212e-03 -2.168486e-04 -0.0018462623 -0.0020747869 -0.0017033042
#> [5,] 2.660428e-04 -1.654511e-05 0.0001661040 0.0001413460 0.0002517585
#> [6,] 5.450862e-05 -4.470630e-05 -0.0001134356 -0.0001597402 0.0000140828
#> [7,] 1.731022e-03 1.739562e-04 0.0020593569 0.0022292788 0.0020933423
#> [8,] 1.627692e-03 1.620076e-04 0.0019297519 0.0020980739 0.0020053409
#> [9,] 2.755485e-03 3.039012e-04 0.0033729630 0.0036777536 0.0033819900
#> [10,] 3.213721e-03 3.820231e-04 0.0040266682 0.0044310547 0.0040492810
#> V23 V24 V25 V26 V27
#> [1,] -0.0007580595 -0.0007128728 -0.0004042802 -7.738381e-05 -0.0002251661
#> [2,] 0.0007582508 0.0008321286 0.0008932809 9.967493e-04 0.0009843995
#> [3,] 0.0011430909 0.0012116772 0.0012083198 1.257211e-03 0.0012820606
#> [4,] -0.0014526317 -0.0014414983 -0.0010445188 -6.403581e-04 -0.0008389665
#> [5,] 0.0003553584 0.0004073729 0.0005069126 6.406808e-04 0.0006040749
#> [6,] 0.0001393982 0.0001793409 0.0003379131 5.390278e-04 0.0004775566
#> [7,] 0.0020545229 0.0021413736 0.0019646431 1.846642e-03 0.0019638587
#> [8,] 0.0019711089 0.0020455226 0.0019038880 1.829132e-03 0.0019331733
#> [9,] 0.0032487541 0.0033623464 0.0030018813 2.715150e-03 0.0029356031
#> [10,] 0.0038254802 0.0039203605 0.0034498587 3.073560e-03 0.0033556883
#> V28 V29 V3 V30 V31
#> [1,] -0.0002958305 -3.802985e-05 -1.833568e-04 0.0002484776 0.0007116568
#> [2,] 0.0009836123 9.882963e-04 1.445289e-05 0.0009585081 0.0009537303
#> [3,] 0.0012885393 1.211895e-03 6.938549e-05 0.0010987277 0.0009755346
#> [4,] -0.0009519396 -6.154541e-04 -2.562862e-04 -0.0002033696 0.0004434976
#> [5,] 0.0005851171 6.322626e-04 -2.380623e-05 0.0006676157 0.0007544189
#> [6,] 0.0004318753 5.126078e-04 -5.747525e-05 0.0006078038 0.0007936314
#> [7,] 0.0020266823 1.790496e-03 1.974454e-04 0.0014732783 0.0010398549
#> [8,] 0.0019705468 1.738353e-03 1.825750e-04 0.0014491015 0.0010677557
#> [9,] 0.0030514073 2.618054e-03 3.480849e-04 0.0020569733 0.0012698814
#> [10,] 0.0034773351 2.906474e-03 4.388457e-04 0.0022126732 0.0012318865
#> V32 V33 V34 V35 V36
#> [1,] 0.0006247835 0.0006686821 0.0010184361 0.0013330137 0.0015985946
#> [2,] 0.0008198674 0.0008020555 0.0008576016 0.0009226108 0.0009856895
#> [3,] 0.0008456733 0.0007987210 0.0007626527 0.0007388903 0.0007515937
#> [4,] 0.0004102819 0.0004635718 0.0008974685 0.0012686030 0.0016100226
#> [5,] 0.0006553482 0.0006475309 0.0007449795 0.0008384908 0.0009330708
#> [6,] 0.0007049240 0.0006907844 0.0008367078 0.0009616504 0.0011134334
#> [7,] 0.0008864667 0.0008075589 0.0005793566 0.0003983321 0.0002642626
#> [8,] 0.0009251977 0.0008324474 0.0006178371 0.0004368811 0.0003391903
#> [9,] 0.0010726137 0.0009415147 0.0004889918 0.0001221783 -0.0001619724
#> [10,] 0.0010560084 0.0008761094 0.0002671015 -0.0002593067 -0.0006248859
#> V37 V38 V39 V4 V40
#> [1,] 1.335231e-03 0.0003475497 -0.0001695702 -2.922604e-04 0.0003229078
#> [2,] 8.807773e-04 0.0005787662 0.0004258762 2.378835e-06 0.0005489456
#> [3,] 7.031242e-04 0.0006035235 0.0005644455 8.173529e-05 0.0005834664
#> [4,] 1.322666e-03 0.0001481999 -0.0004615402 -4.039183e-04 0.0001463220
#> [5,] 8.186159e-04 0.0004400977 0.0002476769 -5.323849e-05 0.0004199618
#> [6,] 9.727152e-04 0.0004408846 0.0001741513 -1.106971e-04 0.0004313021
#> [7,] 3.252755e-04 0.0007028556 0.0009121273 2.776638e-04 0.0006720898
#> [8,] 3.947257e-04 0.0007001725 0.0008796833 2.485265e-04 0.0006847410
#> [9,] 1.693698e-05 0.0008998191 0.0013790658 5.016273e-04 0.0008655537
#> [10,] -3.407194e-04 0.0009002652 0.0015808980 6.316631e-04 0.0008863638
#> V41 V42 V43 V44 V45
#> [1,] 0.0002831477 -3.603184e-04 -5.360946e-04 -4.222537e-04 -0.0005736496
#> [2,] 0.0004936627 2.955619e-04 1.978191e-04 1.705314e-04 0.0001056397
#> [3,] 0.0005318259 4.649662e-04 4.000111e-04 3.432923e-04 0.0003096666
#> [4,] 0.0001301766 -6.406892e-04 -8.218759e-04 -6.438325e-04 -0.0008075934
#> [5,] 0.0003782049 1.302485e-04 3.675831e-05 4.253726e-05 -0.0000264081
#> [6,] 0.0003937727 4.367781e-05 -6.638077e-05 -2.745194e-05 -0.0001112085
#> [7,] 0.0006125086 8.584561e-04 8.499949e-04 6.988501e-04 0.0007262590
#> [8,] 0.0006314291 8.272770e-04 8.157326e-04 6.860898e-04 0.0007094463
#> [9,] 0.0007914915 1.365458e-03 1.412401e-03 1.155089e-03 0.0012438391
#> [10,] 0.0008235371 1.628808e-03 1.739820e-03 1.438644e-03 0.0015883027
#> V46 V47 V48 V49 V5
#> [1,] -4.252649e-04 -3.031760e-04 -3.469319e-04 -2.171093e-04 -3.282468e-04
#> [2,] 1.140863e-04 1.036399e-04 4.312976e-05 2.496737e-05 1.245296e-05
#> [3,] 2.676755e-04 2.155310e-04 1.533609e-04 9.253087e-05 1.087725e-04
#> [4,] -6.229763e-04 -4.588885e-04 -4.881247e-04 -3.048355e-04 -4.519248e-04
#> [5,] 1.465626e-06 1.452992e-05 -3.329589e-05 -2.258118e-05 -5.082043e-05
#> [6,] -7.104401e-05 -4.199313e-05 -9.365202e-05 -6.121075e-05 -1.093299e-04
#> [7,] 6.008765e-04 4.675962e-04 4.013555e-04 2.470579e-04 3.287473e-04
#> [8,] 5.796645e-04 4.486176e-04 3.790968e-04 2.322023e-04 3.043431e-04
#> [9,] 1.013170e-03 7.816958e-04 6.998323e-04 4.319684e-04 5.884485e-04
#> [10,] 1.266865e-03 9.619913e-04 8.817923e-04 5.436506e-04 7.467384e-04
#> V50 V51 V52 V53 V54
#> [1,] -4.601338e-05 -4.601951e-05 -3.158166e-05 -1.748343e-05 -2.275436e-05
#> [2,] 2.048909e-05 1.261258e-05 1.021653e-05 1.197456e-05 9.142368e-06
#> [3,] 3.783816e-05 2.864891e-05 2.189640e-05 1.942091e-05 1.805092e-05
#> [4,] -7.342429e-05 -6.868955e-05 -4.792662e-05 -3.078739e-05 -3.529060e-05
#> [5,] 4.956221e-06 8.043258e-08 1.156017e-06 4.622950e-06 2.051753e-06
#> [6,] -5.198382e-06 -8.736206e-06 -4.796040e-06 1.318124e-07 -2.257811e-06
#> [7,] 7.937893e-05 6.531215e-05 4.779169e-05 3.752253e-05 3.750566e-05
#> [8,] 7.514924e-05 6.199610e-05 4.574911e-05 3.550056e-05 3.611635e-05
#> [9,] 1.306906e-04 1.103370e-04 8.001709e-05 6.032458e-05 6.192842e-05
#> [10,] 1.581763e-04 1.362544e-04 9.883547e-05 7.170523e-05 7.644968e-05
#> V55 V56 V57 V58 V59
#> [1,] -7.965458e-07 -1.016735e-05 -1.619975e-06 -7.034709e-06 -9.438297e-06
#> [2,] 1.199114e-05 8.599525e-06 1.004241e-05 8.929639e-06 9.390435e-06
#> [3,] 1.549343e-05 1.372561e-05 1.340244e-05 1.352547e-05 1.403676e-05
#> [4,] -6.680732e-06 -1.794342e-05 -6.911396e-06 -1.323501e-05 -1.781508e-05
#> [5,] 7.966284e-06 3.934781e-06 6.507978e-06 4.869976e-06 4.416736e-06
#> [6,] 7.603581e-06 1.835776e-06 6.137717e-06 3.775368e-06 1.835542e-06
#> [7,] 2.215300e-05 2.475068e-05 1.957794e-05 2.242593e-05 2.537321e-05
#> [8,] 2.268899e-05 2.428976e-05 2.006955e-05 2.270228e-05 2.427173e-05
#> [9,] 3.229841e-05 3.935171e-05 2.890670e-05 3.481965e-05 3.997411e-05
#> [10,] 3.768861e-05 4.743981e-05 3.403361e-05 4.231564e-05 4.714999e-05
#> V6 V60 V7 V8 V9
#> [1,] -8.335476e-05 -6.214699e-06 -1.569395e-05 -1.658765e-04 -5.219778e-04
#> [2,] 1.199406e-04 8.401745e-06 1.663452e-04 1.373456e-04 1.077596e-04
#> [3,] 1.790029e-04 1.183078e-05 2.156397e-04 2.262625e-04 2.910427e-04
#> [4,] -1.657212e-04 -1.300275e-05 -9.830909e-05 -2.803797e-04 -7.512694e-04
#> [5,] 6.717353e-05 4.310421e-06 1.094669e-04 6.487379e-05 -2.056194e-05
#> [6,] 5.324354e-05 2.284689e-06 1.028114e-04 3.965253e-05 -1.077101e-04
#> [7,] 2.912049e-04 2.057985e-05 3.097718e-04 3.982944e-04 6.820995e-04
#> [8,] 2.956736e-04 1.962505e-05 3.173698e-04 4.020879e-04 6.583474e-04
#> [9,] 4.516604e-04 3.188516e-05 4.551060e-04 6.349490e-04 1.167933e-03
#> [10,] 5.445598e-04 3.709611e-05 5.300079e-04 7.804061e-04 1.472250e-03
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.03327183 -0.03182351 -0.03441727 -0.03614527 -0.02824079 -0.0377734
#> [2,] 0.03327183 0.03182351 0.03441727 0.03614527 0.02824079 0.0377734
#> [,7] [,8] [,9] [,10]
#> [1,] -0.02532638 -0.03438255 -0.02721594 -0.02974779
#> [2,] 0.02532638 0.03438255 0.02721594 0.02974779
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.08281459 0.08146863 0.08099311 0.08475351 0.08414060 0.08137921
#> [7] 0.08255512 0.08035319 0.08074022 0.08080110
#>
#> $B[[2]]
#> [1] 0.16682977 0.03317023
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 0.0004506294 0.0016215712 0.0018614854 -0.0002745353 0.0011402113
#> [6] 0.0010617946 0.0024628585 0.0024462271 0.0034265711 0.0037072305
#>
#> $vB[[2]]
#> [1] -0.06613855 0.06613855
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0065 0.1109 0.0937 0.0827 0.0920 0.0911 0.1487 0.1666 0.1268 0.1374
#> [2,] 0.0264 0.0945 0.1132 0.0840 0.0717 0.1968 0.2633 0.4191 0.5050 0.6711
#> [3,] 0.0308 0.2795 0.3336 0.2940 0.1608 0.3335 0.4985 0.7295 0.7350 0.8253
#> [4,] 0.0217 0.2110 0.2343 0.2087 0.1645 0.1689 0.1650 0.1967 0.2934 0.3709
#> [5,] 0.0131 0.2079 0.2295 0.1990 0.1184 0.1891 0.2949 0.5343 0.6850 0.7923
#> [6,] 0.0414 0.1975 0.2309 0.3025 0.3938 0.5050 0.5872 0.6610 0.7417 0.8006
#> [7,] 0.0587 0.2352 0.3208 0.4257 0.5201 0.4914 0.5950 0.7221 0.9039 0.9111
#> [8,] 0.0453 0.2872 0.4918 0.6552 0.6919 0.7797 0.7464 0.9444 1.0000 0.8874
#> [9,] 0.0305 0.3127 0.2192 0.2621 0.2419 0.2179 0.1159 0.1237 0.0886 0.1755
#> [10,] 0.0430 0.7106 0.7342 0.5033 0.3000 0.1951 0.2767 0.3737 0.2507 0.2507
#> [11,] 0.0056 0.1859 0.2481 0.2712 0.2934 0.2637 0.1880 0.1405 0.2028 0.2613
#> [12,] 0.0269 0.5915 0.6675 0.5679 0.5175 0.3334 0.2002 0.2856 0.2937 0.3424
#> [13,] 0.0239 0.1376 0.0938 0.0259 0.1499 0.2851 0.5743 0.8278 0.8669 0.8131
#> [14,] 0.0238 0.2048 0.2652 0.3100 0.2381 0.1918 0.1430 0.1735 0.1781 0.2852
#> [15,] 0.0216 0.0973 0.1203 0.1102 0.1192 0.1762 0.2390 0.2138 0.1929 0.1765
#> [16,] 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> [17,] 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> [18,] 0.0530 0.0740 0.1610 0.2226 0.2703 0.3365 0.4266 0.4144 0.5655 0.6921
#> [19,] 0.0131 0.3193 0.3468 0.3738 0.3055 0.1926 0.1385 0.2122 0.2758 0.4576
#> [20,] 0.0261 0.2013 0.2890 0.3650 0.3510 0.3495 0.4325 0.5398 0.6237 0.6876
#> [21,] 0.0151 0.1205 0.0847 0.1518 0.2305 0.2793 0.3404 0.4527 0.6950 0.8807
#> [22,] 0.0707 0.1247 0.2340 0.1764 0.2284 0.3115 0.4725 0.5543 0.5386 0.3746
#> [23,] 0.0100 0.2990 0.3242 0.3565 0.3951 0.5201 0.6953 0.8468 1.0000 0.9278
#> [24,] 0.0262 0.6194 0.6333 0.7060 0.5544 0.5320 0.6479 0.6931 0.6759 0.7551
#> [25,] 0.0265 0.0779 0.0327 0.2060 0.1908 0.1065 0.1457 0.2232 0.2070 0.1105
#> [26,] 0.0195 0.1191 0.1522 0.1322 0.1434 0.1244 0.0653 0.0890 0.1226 0.1846
#> [27,] 0.0228 0.2227 0.2621 0.3109 0.2859 0.3316 0.3755 0.4499 0.4765 0.6254
#> [28,] 0.0036 0.0888 0.0937 0.1245 0.1599 0.1542 0.1846 0.1732 0.1477 0.1748
#> [29,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [30,] 0.0221 0.1810 0.2549 0.2984 0.2624 0.1893 0.0668 0.2666 0.4274 0.6291
#> [31,] 0.0162 0.1779 0.2164 0.2568 0.3089 0.3829 0.4393 0.5335 0.5996 0.6728
#> [32,] 0.0192 0.1186 0.1237 0.1601 0.3520 0.4479 0.3769 0.5761 0.6426 0.6790
#> [33,] 0.0331 0.0193 0.0897 0.1734 0.1936 0.2803 0.3313 0.5020 0.6360 0.7096
#> [34,] 0.0180 0.2918 0.3273 0.3035 0.3033 0.2587 0.1682 0.1308 0.2803 0.4519
#> [35,] 0.1313 0.2231 0.2907 0.2259 0.3136 0.3302 0.3660 0.3956 0.4386 0.4670
#> [36,] 0.0363 0.1444 0.1989 0.2154 0.2863 0.3570 0.3980 0.4359 0.5334 0.6304
#> [37,] 0.0353 0.0880 0.1078 0.0979 0.2250 0.2819 0.2099 0.1240 0.1699 0.0939
#> [38,] 0.0225 0.1452 0.1442 0.0948 0.0618 0.1641 0.0708 0.0844 0.2590 0.2679
#> [39,] 0.0352 0.2912 0.2328 0.2237 0.2470 0.1560 0.3491 0.3308 0.2299 0.2203
#> [40,] 0.0094 0.1328 0.1303 0.0273 0.0644 0.0712 0.1204 0.0717 0.1224 0.2349
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.1095 0.0122 0.1286 0.2146 0.2889 0.4238 0.6168 0.8167 0.9622 0.8280
#> [2,] 0.7922 0.0071 0.8381 0.8759 0.9422 1.0000 0.9931 0.9575 0.8647 0.7215
#> [3,] 0.8793 0.0339 0.9657 1.0000 0.8707 0.6471 0.5973 0.8218 0.7755 0.6111
#> [4,] 0.4309 0.0152 0.4161 0.5116 0.6501 0.7717 0.8491 0.9104 0.8912 0.8189
#> [5,] 0.8220 0.0201 0.7290 0.7352 0.7918 0.8057 0.4898 0.1934 0.2924 0.6255
#> [6,] 0.8456 0.0436 0.7939 0.8804 0.8384 0.7852 0.8479 0.7434 0.6433 0.5514
#> [7,] 0.8723 0.1210 0.7686 0.7326 0.5222 0.3097 0.3172 0.2270 0.1640 0.1746
#> [8,] 0.8024 0.0523 0.7818 0.5212 0.4052 0.3957 0.3914 0.3250 0.3200 0.3271
#> [9,] 0.1758 0.0363 0.1540 0.0512 0.1805 0.4039 0.5697 0.6577 0.7474 0.8543
#> [10,] 0.3292 0.0902 0.4871 0.6527 0.8454 0.9739 1.0000 0.6665 0.5323 0.4024
#> [11,] 0.2778 0.0267 0.3346 0.3830 0.4003 0.5114 0.6860 0.7490 0.7843 0.9021
#> [12,] 0.5949 0.0383 0.7526 0.8959 0.8147 0.7109 0.7378 0.7201 0.8254 0.8917
#> [13,] 0.9045 0.0189 0.9046 1.0000 0.9976 0.9872 0.9761 0.9009 0.9724 0.9675
#> [14,] 0.5036 0.0318 0.6166 0.7616 0.8125 0.7793 0.8788 0.8813 0.9470 1.0000
#> [15,] 0.0746 0.0215 0.1265 0.2005 0.1571 0.2605 0.5386 0.8440 1.0000 0.8684
#> [16,] 0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> [17,] 0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> [18,] 0.8547 0.0885 0.9234 0.9171 1.0000 0.9532 0.9101 0.8337 0.7053 0.6534
#> [19,] 0.6487 0.0387 0.7154 0.8010 0.7924 0.8793 1.0000 0.9865 0.9474 0.9474
#> [20,] 0.7329 0.0266 0.8107 0.8396 0.8632 0.8747 0.9607 0.9716 0.9121 0.8576
#> [21,] 0.9154 0.0320 0.7542 0.6736 0.7146 0.8335 0.7701 0.6993 0.6543 0.5040
#> [22,] 0.4583 0.1252 0.5961 0.7464 0.7644 0.5711 0.6257 0.6695 0.7131 0.7567
#> [23,] 0.8510 0.0194 0.8010 0.8142 0.8825 0.7302 0.6107 0.7159 0.8458 0.6319
#> [24,] 0.8929 0.0582 0.8619 0.7974 0.6737 0.4293 0.3648 0.5331 0.2413 0.5070
#> [25,] 0.1078 0.0440 0.1165 0.2224 0.0689 0.2060 0.2384 0.0904 0.2278 0.5872
#> [26,] 0.3880 0.0142 0.3658 0.2297 0.2610 0.4193 0.5848 0.5643 0.5448 0.4772
#> [27,] 0.7304 0.0106 0.8702 0.9349 0.9614 0.9126 0.9443 1.0000 0.9455 0.8815
#> [28,] 0.1455 0.0078 0.1579 0.2257 0.1975 0.3368 0.5828 0.8505 1.0000 0.8457
#> [29,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [30,] 0.7782 0.0065 0.7686 0.8099 0.8493 0.9440 0.9450 0.9655 0.8045 0.4969
#> [31,] 0.7309 0.0041 0.8092 0.8941 0.9668 1.0000 0.9893 0.9376 0.8991 0.9184
#> [32,] 0.7157 0.0607 0.5466 0.5399 0.6362 0.7849 0.7756 0.5780 0.4862 0.4181
#> [33,] 0.8333 0.0423 0.8730 0.8073 0.7507 0.7526 0.7298 0.6177 0.4946 0.4531
#> [34,] 0.6641 0.0444 0.7683 0.6960 0.4393 0.2432 0.2886 0.4974 0.8172 1.0000
#> [35,] 0.5255 0.2339 0.3735 0.2243 0.1973 0.4337 0.6532 0.5070 0.2796 0.4163
#> [36,] 0.6995 0.0478 0.7435 0.8379 0.8641 0.9014 0.9432 0.9536 1.0000 0.9547
#> [37,] 0.1091 0.0713 0.1410 0.1268 0.3151 0.1430 0.2264 0.5756 0.7876 0.7158
#> [38,] 0.3094 0.0019 0.4678 0.5958 0.7245 0.8773 0.9214 0.9282 0.9942 1.0000
#> [39,] 0.2493 0.0116 0.4128 0.3158 0.6191 0.5854 0.3395 0.2561 0.5599 0.8145
#> [40,] 0.3684 0.0166 0.3918 0.4925 0.8793 0.9606 0.8786 0.6905 0.6937 0.5674
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.5816 0.4667 0.0068 0.3539 0.2727 0.1410 0.1863 0.2176 0.2360 0.1725
#> [2,] 0.5801 0.4964 0.0342 0.4886 0.4079 0.2443 0.1768 0.2472 0.3518 0.3762
#> [3,] 0.4195 0.2990 0.0202 0.1354 0.2438 0.5624 0.5555 0.6963 0.7298 0.7022
#> [4,] 0.6779 0.5368 0.0346 0.5207 0.5651 0.5749 0.5250 0.4255 0.3330 0.2331
#> [5,] 0.8546 0.8966 0.0045 0.7821 0.5168 0.4840 0.4038 0.3411 0.2849 0.2353
#> [6,] 0.3519 0.3168 0.0447 0.3346 0.2056 0.1032 0.3168 0.4040 0.4282 0.4538
#> [7,] 0.1835 0.2048 0.1268 0.1674 0.2767 0.3104 0.3399 0.4441 0.5046 0.2814
#> [8,] 0.2767 0.4423 0.0843 0.2028 0.3788 0.2947 0.1984 0.2341 0.1306 0.4182
#> [9,] 0.9085 0.8668 0.0214 0.8892 0.9065 0.8522 0.7204 0.6200 0.6253 0.6848
#> [10,] 0.3444 0.4239 0.0833 0.4182 0.4393 0.1162 0.4336 0.6553 0.6172 0.4373
#> [11,] 1.0000 0.8888 0.0221 0.6511 0.6083 0.4463 0.2948 0.1729 0.1488 0.0801
#> [12,] 0.9820 0.8179 0.0505 0.4848 0.3203 0.2775 0.2382 0.2911 0.1675 0.3156
#> [13,] 0.7633 0.4434 0.0466 0.3822 0.4727 0.4007 0.3381 0.3172 0.2222 0.0733
#> [14,] 0.9739 0.8446 0.0422 0.6151 0.4302 0.3165 0.2869 0.2017 0.1206 0.0271
#> [15,] 0.6742 0.5537 0.0273 0.4638 0.3609 0.2055 0.1620 0.2092 0.3100 0.2344
#> [16,] 0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> [17,] 0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> [18,] 0.4483 0.2460 0.1997 0.2020 0.1446 0.0994 0.1510 0.2392 0.4434 0.5023
#> [19,] 0.9315 0.8326 0.0329 0.6213 0.3772 0.2822 0.2042 0.2190 0.2223 0.1327
#> [20,] 0.8798 0.7720 0.0223 0.5711 0.4264 0.2860 0.3114 0.2066 0.1165 0.0185
#> [21,] 0.4926 0.4992 0.0599 0.4161 0.1631 0.0404 0.0637 0.2962 0.3609 0.1866
#> [22,] 0.8077 0.8477 0.1447 0.9289 0.9513 0.7995 0.4362 0.4048 0.4952 0.1712
#> [23,] 0.4808 0.6291 0.0155 0.7152 0.6005 0.4235 0.4106 0.3992 0.1730 0.1975
#> [24,] 0.8533 0.6036 0.1099 0.8514 0.8512 0.5045 0.1862 0.2709 0.4232 0.3043
#> [25,] 0.8457 0.8467 0.0137 0.7679 0.8055 0.6260 0.6545 0.8747 0.9885 0.9348
#> [26,] 0.6897 0.9797 0.0181 1.0000 0.9546 0.8835 0.7662 0.6547 0.5447 0.4593
#> [27,] 0.7520 0.7068 0.0130 0.5986 0.3857 0.2510 0.2162 0.0968 0.1323 0.1344
#> [28,] 0.6624 0.5564 0.0092 0.3925 0.3233 0.2054 0.1920 0.2227 0.3147 0.2268
#> [29,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [30,] 0.3960 0.3856 0.0164 0.5574 0.7309 0.8549 0.9425 0.8726 0.6673 0.4694
#> [31,] 0.9128 0.7811 0.0239 0.6018 0.3765 0.3300 0.2280 0.0212 0.1117 0.1788
#> [32,] 0.2457 0.0716 0.0378 0.0613 0.1816 0.4493 0.5976 0.3785 0.2495 0.5771
#> [33,] 0.4099 0.4540 0.0474 0.4124 0.3139 0.3194 0.3692 0.3776 0.4469 0.4777
#> [34,] 0.9238 0.8519 0.0476 0.7722 0.5772 0.5190 0.6824 0.6220 0.5054 0.3578
#> [35,] 0.5950 0.5242 0.3059 0.4178 0.3714 0.2375 0.0863 0.1437 0.2896 0.4577
#> [36,] 0.9745 0.8962 0.0298 0.7196 0.5462 0.3156 0.2525 0.1969 0.2189 0.1533
#> [37,] 0.5998 0.5583 0.0326 0.6295 0.7659 0.8940 0.8436 0.6807 0.8380 1.0000
#> [38,] 0.9071 0.8545 0.0075 0.7293 0.6499 0.6071 0.5588 0.5967 0.6275 0.5459
#> [39,] 0.6941 0.6985 0.0191 0.8660 0.5930 0.3664 0.6750 0.8697 0.7837 0.7552
#> [40,] 0.6540 0.7802 0.0398 0.7575 0.5836 0.6316 0.8108 0.9039 0.8647 0.6695
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.0589 0.0621 0.1847 0.0108 0.2452 0.2984 0.3041 0.2275 0.1480 0.1102
#> [2,] 0.2909 0.2311 0.3168 0.0793 0.3554 0.3741 0.4443 0.3261 0.1963 0.0864
#> [3,] 0.5468 0.1421 0.4738 0.0889 0.6410 0.4375 0.3178 0.2377 0.2808 0.1374
#> [4,] 0.1451 0.1648 0.2694 0.0346 0.3730 0.4467 0.4133 0.3743 0.3021 0.2069
#> [5,] 0.2699 0.4442 0.4323 0.0217 0.3314 0.1195 0.1669 0.3702 0.3072 0.0945
#> [6,] 0.3704 0.3741 0.3839 0.0844 0.3494 0.4380 0.4265 0.2854 0.2808 0.2395
#> [7,] 0.1681 0.2633 0.3198 0.1498 0.1933 0.0934 0.0443 0.0780 0.0722 0.0405
#> [8,] 0.3835 0.1057 0.1840 0.0689 0.1970 0.1674 0.0583 0.1401 0.1628 0.0621
#> [9,] 0.7337 0.6281 0.5725 0.0227 0.6119 0.5597 0.4965 0.5027 0.5772 0.5907
#> [10,] 0.4118 0.3641 0.4572 0.0813 0.4367 0.2964 0.4312 0.4155 0.1824 0.1487
#> [11,] 0.1770 0.1382 0.2404 0.0561 0.2046 0.1970 0.2778 0.1377 0.0685 0.0664
#> [12,] 0.1869 0.3391 0.5993 0.0707 0.4124 0.1181 0.3651 0.4655 0.4777 0.3517
#> [13,] 0.2692 0.1888 0.0712 0.0440 0.1062 0.0694 0.0300 0.0893 0.1459 0.1348
#> [14,] 0.0580 0.1262 0.1072 0.0399 0.1082 0.0360 0.1197 0.2061 0.2054 0.1878
#> [15,] 0.1058 0.0383 0.0528 0.0139 0.1291 0.2241 0.1915 0.1587 0.0942 0.0840
#> [16,] 0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> [17,] 0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> [18,] 0.4441 0.4571 0.3927 0.2604 0.2900 0.3408 0.4990 0.3632 0.1387 0.1800
#> [19,] 0.0521 0.0618 0.1416 0.0078 0.1460 0.0846 0.1055 0.1639 0.1916 0.2085
#> [20,] 0.1302 0.2480 0.1637 0.0749 0.1103 0.2144 0.2033 0.1887 0.1370 0.1376
#> [21,] 0.0476 0.1497 0.2405 0.1050 0.1980 0.3175 0.2379 0.1716 0.1559 0.1556
#> [22,] 0.3652 0.3763 0.2841 0.1644 0.0427 0.5331 0.6952 0.4288 0.3063 0.5835
#> [23,] 0.2370 0.1339 0.1583 0.0489 0.3151 0.1968 0.2054 0.1272 0.1129 0.1946
#> [24,] 0.6116 0.6756 0.5375 0.1083 0.4719 0.4647 0.2587 0.2129 0.2222 0.2111
#> [25,] 0.6960 0.5733 0.5872 0.0084 0.6663 0.5651 0.5247 0.3684 0.1997 0.1512
#> [26,] 0.4679 0.1987 0.0699 0.0406 0.1493 0.1713 0.1654 0.2600 0.3846 0.3754
#> [27,] 0.2250 0.3244 0.3939 0.0842 0.3806 0.3258 0.3654 0.2983 0.1779 0.1535
#> [28,] 0.0795 0.0748 0.1166 0.0387 0.1969 0.2619 0.2507 0.1983 0.0948 0.0931
#> [29,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [30,] 0.1546 0.1748 0.3607 0.0487 0.5208 0.5177 0.3702 0.2240 0.0816 0.0395
#> [31,] 0.2373 0.2843 0.2241 0.0441 0.2715 0.3363 0.2546 0.1867 0.2160 0.1278
#> [32,] 0.8852 0.8409 0.3570 0.0774 0.3133 0.6096 0.6378 0.2709 0.1419 0.1260
#> [33,] 0.4716 0.4664 0.3893 0.0818 0.4255 0.4064 0.3712 0.3863 0.2802 0.1283
#> [34,] 0.3809 0.3813 0.3359 0.0698 0.2771 0.3648 0.3834 0.3453 0.2096 0.1031
#> [35,] 0.3725 0.3372 0.3803 0.4264 0.4181 0.3603 0.2711 0.1653 0.1951 0.2811
#> [36,] 0.0711 0.1498 0.1755 0.0210 0.2276 0.1322 0.1056 0.1973 0.1692 0.1881
#> [37,] 0.9497 0.7866 0.5647 0.0272 0.3480 0.2585 0.2304 0.2948 0.3363 0.3017
#> [38,] 0.4786 0.3965 0.2087 0.0097 0.1651 0.1836 0.0652 0.0758 0.0486 0.0353
#> [39,] 0.5789 0.4713 0.1252 0.0469 0.6087 0.7322 0.5977 0.3431 0.1803 0.2378
#> [40,] 0.4027 0.2370 0.2685 0.0359 0.3662 0.3267 0.2200 0.2996 0.2205 0.1163
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.1178 0.0608 0.0333 0.0276 0.0217 0.0100 0.0023 0.0069 0.0025 0.0027
#> [2,] 0.1688 0.1991 0.1217 0.0628 0.1043 0.0323 0.0253 0.0214 0.0262 0.0177
#> [3,] 0.1136 0.1034 0.0688 0.0422 0.1570 0.0117 0.0070 0.0167 0.0127 0.0138
#> [4,] 0.1790 0.1689 0.1341 0.0769 0.0484 0.0222 0.0205 0.0123 0.0067 0.0011
#> [5,] 0.1545 0.1394 0.0772 0.0615 0.0230 0.0230 0.0111 0.0168 0.0086 0.0045
#> [6,] 0.0369 0.0805 0.0541 0.0177 0.0419 0.0065 0.0222 0.0045 0.0136 0.0113
#> [7,] 0.0553 0.1081 0.1139 0.0767 0.1436 0.0265 0.0215 0.0331 0.0111 0.0088
#> [8,] 0.0203 0.0530 0.0742 0.0409 0.1183 0.0061 0.0125 0.0084 0.0089 0.0048
#> [9,] 0.4803 0.3877 0.2779 0.1427 0.0456 0.0424 0.0271 0.0200 0.0070 0.0070
#> [10,] 0.0138 0.1164 0.2052 0.1069 0.0165 0.0199 0.0208 0.0176 0.0197 0.0210
#> [11,] 0.1665 0.1807 0.1245 0.0516 0.0936 0.0044 0.0185 0.0072 0.0055 0.0074
#> [12,] 0.0920 0.1227 0.1785 0.1085 0.1313 0.0300 0.0346 0.0167 0.0199 0.0145
#> [13,] 0.0391 0.0546 0.0469 0.0201 0.0657 0.0095 0.0155 0.0091 0.0151 0.0080
#> [14,] 0.2047 0.1716 0.1069 0.0477 0.0788 0.0170 0.0186 0.0096 0.0071 0.0084
#> [15,] 0.0670 0.0342 0.0469 0.0357 0.0357 0.0136 0.0082 0.0140 0.0044 0.0052
#> [16,] 0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> [17,] 0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> [18,] 0.1299 0.0523 0.0817 0.0469 0.3225 0.0114 0.0299 0.0244 0.0199 0.0257
#> [19,] 0.2335 0.1964 0.1300 0.0633 0.0721 0.0183 0.0137 0.0150 0.0076 0.0032
#> [20,] 0.0307 0.0373 0.0606 0.0399 0.1364 0.0169 0.0135 0.0222 0.0175 0.0127
#> [21,] 0.0422 0.0493 0.0476 0.0219 0.1163 0.0059 0.0086 0.0061 0.0015 0.0084
#> [22,] 0.5692 0.2630 0.1196 0.0983 0.1693 0.0374 0.0291 0.0156 0.0197 0.0135
#> [23,] 0.2195 0.1930 0.1498 0.0773 0.0839 0.0196 0.0122 0.0130 0.0073 0.0077
#> [24,] 0.0176 0.1348 0.0744 0.0130 0.0974 0.0106 0.0033 0.0232 0.0166 0.0095
#> [25,] 0.0508 0.0931 0.0982 0.0524 0.0305 0.0188 0.0100 0.0038 0.0187 0.0156
#> [26,] 0.2414 0.1077 0.0224 0.0155 0.0391 0.0187 0.0125 0.0028 0.0067 0.0120
#> [27,] 0.1199 0.0959 0.0765 0.0649 0.1117 0.0313 0.0185 0.0098 0.0178 0.0077
#> [28,] 0.0965 0.0381 0.0435 0.0336 0.0530 0.0055 0.0079 0.0119 0.0055 0.0035
#> [29,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [30,] 0.0785 0.1052 0.1034 0.0764 0.0519 0.0216 0.0167 0.0089 0.0051 0.0015
#> [31,] 0.0768 0.1070 0.0946 0.0636 0.0630 0.0227 0.0128 0.0173 0.0135 0.0114
#> [32,] 0.1288 0.0790 0.0829 0.0520 0.1388 0.0216 0.0360 0.0331 0.0131 0.0120
#> [33,] 0.1117 0.1303 0.0787 0.0436 0.0835 0.0224 0.0133 0.0078 0.0174 0.0176
#> [34,] 0.0798 0.0701 0.0526 0.0241 0.1615 0.0117 0.0122 0.0122 0.0114 0.0098
#> [35,] 0.2246 0.1921 0.1500 0.0665 0.4010 0.0193 0.0156 0.0362 0.0210 0.0154
#> [36,] 0.1177 0.0779 0.0495 0.0492 0.1409 0.0194 0.0250 0.0115 0.0190 0.0055
#> [37,] 0.2193 0.1316 0.1078 0.0559 0.0370 0.0035 0.0098 0.0163 0.0242 0.0043
#> [38,] 0.0297 0.0241 0.0379 0.0119 0.0445 0.0073 0.0051 0.0034 0.0129 0.0100
#> [39,] 0.3424 0.2303 0.0689 0.0216 0.0737 0.0469 0.0426 0.0346 0.0158 0.0154
#> [40,] 0.0635 0.0465 0.0422 0.0174 0.0681 0.0172 0.0134 0.0141 0.0191 0.0145
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0052 0.0036 0.0026 0.0036 0.0006 0.0284 0.0035 0.0527 0.0575 0.1054
#> [2,] 0.0037 0.0068 0.0121 0.0077 0.0078 0.0783 0.0066 0.1417 0.1176 0.0453
#> [3,] 0.0090 0.0051 0.0029 0.0122 0.0056 0.1750 0.0020 0.0920 0.1353 0.1593
#> [4,] 0.0026 0.0049 0.0029 0.0022 0.0022 0.0526 0.0032 0.0773 0.0862 0.1451
#> [5,] 0.0062 0.0065 0.0030 0.0066 0.0029 0.0481 0.0053 0.0742 0.0333 0.1369
#> [6,] 0.0053 0.0165 0.0141 0.0077 0.0246 0.1215 0.0198 0.2002 0.1516 0.0818
#> [7,] 0.0158 0.0122 0.0038 0.0101 0.0228 0.0561 0.0124 0.0832 0.0672 0.1372
#> [8,] 0.0094 0.0191 0.0140 0.0049 0.0052 0.2583 0.0044 0.2156 0.3481 0.3337
#> [9,] 0.0086 0.0089 0.0074 0.0042 0.0055 0.0665 0.0021 0.0939 0.0972 0.2535
#> [10,] 0.0141 0.0049 0.0027 0.0162 0.0059 0.0277 0.0021 0.0569 0.2057 0.3887
#> [11,] 0.0068 0.0084 0.0037 0.0024 0.0034 0.1146 0.0007 0.0706 0.0996 0.1673
#> [12,] 0.0081 0.0045 0.0043 0.0027 0.0055 0.2103 0.0057 0.2263 0.2524 0.3595
#> [13,] 0.0018 0.0078 0.0045 0.0026 0.0036 0.0742 0.0024 0.1380 0.1099 0.1384
#> [14,] 0.0038 0.0026 0.0028 0.0013 0.0035 0.0766 0.0060 0.0881 0.1143 0.1594
#> [15,] 0.0073 0.0021 0.0047 0.0024 0.0009 0.0785 0.0017 0.0906 0.0908 0.1151
#> [16,] 0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> [17,] 0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> [18,] 0.0082 0.0151 0.0171 0.0146 0.0134 0.2247 0.0056 0.0617 0.2287 0.0950
#> [19,] 0.0037 0.0071 0.0040 0.0009 0.0015 0.1341 0.0085 0.1626 0.1902 0.2610
#> [20,] 0.0022 0.0124 0.0054 0.0021 0.0028 0.1513 0.0023 0.1316 0.1654 0.1864
#> [21,] 0.0128 0.0054 0.0011 0.0019 0.0023 0.1734 0.0062 0.1679 0.1119 0.0889
#> [22,] 0.0127 0.0138 0.0133 0.0131 0.0154 0.0844 0.0218 0.0715 0.0947 0.1583
#> [23,] 0.0075 0.0060 0.0080 0.0019 0.0053 0.1009 0.0019 0.1627 0.2071 0.2696
#> [24,] 0.0180 0.0244 0.0316 0.0164 0.0095 0.2280 0.0078 0.2431 0.3771 0.5598
#> [25,] 0.0068 0.0097 0.0073 0.0081 0.0086 0.0438 0.0095 0.0341 0.0780 0.0844
#> [26,] 0.0012 0.0022 0.0058 0.0042 0.0067 0.0249 0.0012 0.0892 0.0973 0.0840
#> [27,] 0.0074 0.0095 0.0055 0.0045 0.0063 0.1506 0.0039 0.1776 0.0997 0.1428
#> [28,] 0.0036 0.0004 0.0018 0.0049 0.0024 0.1197 0.0016 0.1243 0.1026 0.1239
#> [29,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [30,] 0.0075 0.0058 0.0016 0.0070 0.0074 0.0849 0.0038 0.0812 0.1833 0.2228
#> [31,] 0.0062 0.0157 0.0088 0.0036 0.0053 0.0921 0.0030 0.1368 0.1078 0.1552
#> [32,] 0.0108 0.0024 0.0045 0.0037 0.0112 0.0809 0.0075 0.0568 0.0219 0.1037
#> [33,] 0.0038 0.0129 0.0066 0.0044 0.0134 0.0756 0.0092 0.0374 0.0961 0.0548
#> [34,] 0.0027 0.0025 0.0026 0.0050 0.0073 0.0887 0.0022 0.0596 0.1071 0.3175
#> [35,] 0.0180 0.0013 0.0106 0.0127 0.0178 0.1791 0.0231 0.1853 0.0055 0.1929
#> [36,] 0.0096 0.0050 0.0066 0.0114 0.0073 0.1916 0.0033 0.1349 0.1613 0.1703
#> [37,] 0.0202 0.0108 0.0037 0.0096 0.0093 0.0792 0.0053 0.1083 0.0687 0.0298
#> [38,] 0.0044 0.0057 0.0030 0.0035 0.0021 0.0906 0.0027 0.0889 0.0655 0.1624
#> [39,] 0.0109 0.0048 0.0095 0.0015 0.0073 0.1185 0.0067 0.1683 0.1541 0.1466
#> [40,] 0.0065 0.0129 0.0217 0.0087 0.0077 0.0706 0.0122 0.1020 0.0893 0.0381
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.5405608 0.5174670 0.5100155 0.4699698 0.4685220 0.5481093 0.4613773
#> [2,] 0.5117192 0.5325091 0.5310113 0.4668638 0.4431537 0.5268873 0.4451860
#> [3,] 0.5035938 0.5533105 0.5433899 0.4580437 0.4282013 0.4782075 0.4695721
#> [4,] 0.5422892 0.5328606 0.5175439 0.4471630 0.4457548 0.5379872 0.4471201
#> [5,] 0.5244907 0.5453920 0.5412488 0.4767044 0.4434745 0.5081385 0.4570094
#> [6,] 0.4945592 0.5295237 0.5391292 0.4973438 0.4559213 0.5128217 0.4592156
#> [7,] 0.4834768 0.5453178 0.5390097 0.5293249 0.4628813 0.4723533 0.4945893
#> [8,] 0.4680128 0.5323041 0.5270792 0.5246935 0.4570588 0.4844721 0.4890482
#> [9,] 0.5805694 0.5287060 0.5441747 0.4160628 0.4372098 0.5134468 0.4952749
#> [10,] 0.5168127 0.4977581 0.5391055 0.4727817 0.4512100 0.5187673 0.4481362
#> [11,] 0.5395398 0.5233070 0.5120152 0.4636005 0.4451931 0.5504495 0.4511695
#> [12,] 0.5216489 0.4993186 0.5400640 0.4860586 0.4408176 0.5415646 0.4361990
#> [13,] 0.4870565 0.5526087 0.5180933 0.4627193 0.4451684 0.5191688 0.4202026
#> [14,] 0.5319153 0.5204954 0.5126018 0.4651523 0.4456363 0.5610584 0.4242098
#> [15,] 0.5302212 0.5198029 0.5105993 0.4659675 0.4620651 0.5417284 0.4647115
#> [16,] 0.5329693 0.5316522 0.5726905 0.4845197 0.4468384 0.4573752 0.5166615
#> [17,] 0.5697879 0.5309434 0.5740900 0.4424135 0.4600732 0.4983312 0.5275460
#> [18,] 0.5047480 0.5257308 0.5558786 0.4941556 0.4410320 0.5121435 0.4574480
#> [19,] 0.5256756 0.5100741 0.5090265 0.4737736 0.4366511 0.5530552 0.4164962
#> [20,] 0.5062890 0.5261835 0.5150608 0.4840053 0.4413849 0.5448306 0.4169598
#> [21,] 0.5040455 0.5313969 0.5218142 0.5086252 0.4505156 0.5280045 0.4457795
#> [22,] 0.5445586 0.5632732 0.5621797 0.4423490 0.4482349 0.5094113 0.4847639
#> [23,] 0.4989707 0.5557166 0.5185066 0.4826489 0.4505193 0.5118055 0.4461847
#> [24,] 0.4997001 0.5195583 0.5736090 0.5155540 0.4280777 0.4775892 0.4776450
#> [25,] 0.5595568 0.5424661 0.5543883 0.4146933 0.4329277 0.4921879 0.5175259
#> [26,] 0.5537412 0.5513610 0.5241530 0.4225105 0.4539830 0.5245412 0.4751824
#> [27,] 0.5143547 0.5230001 0.5247291 0.4858414 0.4422526 0.5436081 0.4302125
#> [28,] 0.5350927 0.5169258 0.5090378 0.4673123 0.4589976 0.5462941 0.4624877
#> [29,] 0.5168443 0.5685238 0.5484997 0.4474779 0.4505898 0.4993233 0.4789213
#> [30,] 0.5350522 0.5514419 0.5066058 0.4349314 0.4300641 0.5136584 0.4370648
#> [31,] 0.5110877 0.5307787 0.5164564 0.4777911 0.4388590 0.5449762 0.4259372
#> [32,] 0.5118849 0.5272612 0.5464182 0.4737826 0.4724376 0.4917958 0.4896712
#> [33,] 0.5138609 0.5372932 0.5423983 0.4820687 0.4502586 0.5003710 0.4766604
#> [34,] 0.5367858 0.5379198 0.5438516 0.4536410 0.4360232 0.5151879 0.4623587
#> [35,] 0.5217875 0.5278835 0.5342284 0.5088996 0.4542620 0.5110599 0.4952687
#> [36,] 0.5168127 0.5355070 0.5103333 0.4687265 0.4345666 0.5491617 0.4168176
#> [37,] 0.5573819 0.5531393 0.5628292 0.4072191 0.4538679 0.4853974 0.5080418
#> [38,] 0.5379782 0.5365895 0.5172386 0.4127111 0.4287045 0.5325545 0.4223295
#> [39,] 0.5504732 0.5558064 0.5423203 0.4136793 0.4378114 0.5181638 0.4862480
#> [40,] 0.5510656 0.5554017 0.5204211 0.4047275 0.4297675 0.5335573 0.4404654
#> [,8] [,9] [,10]
#> [1,] 0.5016399 0.4939751 0.4621302
#> [2,] 0.4950070 0.4842448 0.4448490
#> [3,] 0.4976444 0.4905882 0.4802851
#> [4,] 0.4980117 0.4799122 0.4462335
#> [5,] 0.5170495 0.4714914 0.4572044
#> [6,] 0.5052652 0.4814874 0.4789131
#> [7,] 0.5255122 0.4967934 0.5244773
#> [8,] 0.5414024 0.4982350 0.5097929
#> [9,] 0.5166284 0.4854568 0.4329042
#> [10,] 0.4908339 0.4678179 0.5022716
#> [11,] 0.5276524 0.4895231 0.4512495
#> [12,] 0.5201984 0.4486127 0.4662921
#> [13,] 0.5006662 0.4812179 0.4426532
#> [14,] 0.5192373 0.4785747 0.4427874
#> [15,] 0.5147699 0.5003816 0.4641654
#> [16,] 0.5256314 0.4548823 0.4862410
#> [17,] 0.4959873 0.4580291 0.4380714
#> [18,] 0.4919632 0.4935099 0.4682246
#> [19,] 0.5249617 0.4802831 0.4418016
#> [20,] 0.5162620 0.4757750 0.4470369
#> [21,] 0.5132355 0.4850649 0.4554439
#> [22,] 0.5240151 0.4615493 0.4428206
#> [23,] 0.5315042 0.4715804 0.4599018
#> [24,] 0.5347971 0.4449931 0.4688565
#> [25,] 0.5186367 0.4942554 0.4860648
#> [26,] 0.5287288 0.5041577 0.4385850
#> [27,] 0.5071689 0.4701651 0.4407494
#> [28,] 0.5128202 0.4995775 0.4612188
#> [29,] 0.4909201 0.4699464 0.4653723
#> [30,] 0.5003713 0.4853268 0.4526698
#> [31,] 0.5145797 0.4744000 0.4411372
#> [32,] 0.4951824 0.5079299 0.4886670
#> [33,] 0.4981938 0.4947686 0.4698756
#> [34,] 0.5122763 0.4718313 0.4480505
#> [35,] 0.5230295 0.5072124 0.4744815
#> [36,] 0.5192531 0.4758526 0.4322670
#> [37,] 0.5114853 0.5122460 0.4649688
#> [38,] 0.5070528 0.5023646 0.4375527
#> [39,] 0.5153660 0.4816686 0.4655909
#> [40,] 0.5024169 0.5028750 0.4486403
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.4891169 0.5108831
#> [2,] 0.4892914 0.5107086
#> [3,] 0.4866150 0.5133850
#> [4,] 0.4895164 0.5104836
#> [5,] 0.4891258 0.5108742
#> [6,] 0.4882773 0.5117227
#> [7,] 0.4858808 0.5141192
#> [8,] 0.4859076 0.5140924
#> [9,] 0.4884746 0.5115254
#> [10,] 0.4879389 0.5120611
#> [11,] 0.4891786 0.5108214
#> [12,] 0.4901274 0.5098726
#> [13,] 0.4891653 0.5108347
#> [14,] 0.4902431 0.5097569
#> [15,] 0.4882802 0.5117198
#> [16,] 0.4874416 0.5125584
#> [17,] 0.4892211 0.5107789
#> [18,] 0.4884711 0.5115289
#> [19,] 0.4902473 0.5097527
#> [20,] 0.4901477 0.5098523
#> [21,] 0.4897125 0.5102875
#> [22,] 0.4889100 0.5110900
#> [23,] 0.4888323 0.5111677
#> [24,] 0.4890134 0.5109866
#> [25,] 0.4854325 0.5145675
#> [26,] 0.4878592 0.5121408
#> [27,] 0.4905949 0.5094051
#> [28,] 0.4886107 0.5113893
#> [29,] 0.4879391 0.5120609
#> [30,] 0.4885499 0.5114501
#> [31,] 0.4901966 0.5098034
#> [32,] 0.4864730 0.5135270
#> [33,] 0.4878726 0.5121274
#> [34,] 0.4890415 0.5109585
#> [35,] 0.4878053 0.5121947
#> [36,] 0.4904459 0.5095541
#> [37,] 0.4856782 0.5143218
#> [38,] 0.4883279 0.5116721
#> [39,] 0.4870846 0.5129154
#> [40,] 0.4878139 0.5121861
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.162600358 0.069896448 0.04006738 -0.12026568 -0.1260788 0.193034498
#> [2,] 0.046885480 0.130219940 0.12420443 -0.13273933 -0.2283726 0.107652896
#> [3,] 0.014375528 0.214055473 0.17399739 -0.16822073 -0.2891938 -0.087225393
#> [4,] 0.169561995 0.131632035 0.07020454 -0.21214014 -0.2178380 0.152242222
#> [5,] 0.098041323 0.182069137 0.16537109 -0.09325004 -0.2270726 0.032556781
#> [6,] -0.021763882 0.118232408 0.15683753 -0.01062508 -0.1767738 0.051298181
#> [7,] -0.066116728 0.181770086 0.15635667 0.11743420 -0.1487486 -0.110699712
#> [8,] -0.128123929 0.129396676 0.10842275 0.09885457 -0.1721889 -0.062131636
#> [9,] 0.325111076 0.114950510 0.17716056 -0.33895739 -0.2524936 0.053800057
#> [10,] 0.067276361 -0.008967495 0.15674222 -0.10898078 -0.1957829 0.075104534
#> [11,] 0.158490020 0.093295591 0.04807014 -0.14585585 -0.2201120 0.202486983
#> [12,] 0.086649927 -0.002725714 0.16060029 -0.05577991 -0.2378445 0.166642783
#> [13,] -0.051785767 0.211216385 0.07240497 -0.14940016 -0.2202119 0.076712968
#> [14,] 0.127835095 0.082027474 0.05041774 -0.13961735 -0.2183180 0.245458444
#> [15,] 0.121032380 0.079253218 0.04240369 -0.13634063 -0.1520317 0.167302684
#> [16,] 0.132068974 0.126778356 0.29283695 -0.06194085 -0.2134532 -0.170914052
#> [17,] 0.280985651 0.123931914 0.29855826 -0.23137282 -0.1600478 -0.006675390
#> [18,] 0.018992418 0.103014004 0.22445189 -0.02337850 -0.2369749 0.048583705
#> [19,] 0.102792663 0.040301672 0.03610980 -0.10500209 -0.2547647 0.213022843
#> [20,] 0.025157422 0.104829698 0.06026126 -0.06400052 -0.2355436 0.179805300
#> [21,] 0.016182371 0.125753188 0.08731236 0.03450426 -0.1985876 0.112135421
#> [22,] 0.178708624 0.254457017 0.25001309 -0.23163403 -0.2078048 0.037649833
#> [23,] -0.004117343 0.223795885 0.07406017 -0.06943232 -0.1985729 0.047230785
#> [24,] -0.001199799 0.078273059 0.29659103 0.06223590 -0.2896986 -0.089703171
#> [25,] 0.239363526 0.170274803 0.21841750 -0.34459693 -0.2699159 -0.031250803
#> [26,] 0.215798568 0.206171278 0.09668726 -0.31247616 -0.1845902 0.098243661
#> [27,] 0.057434406 0.092065473 0.09899734 -0.05664935 -0.2320249 0.174876884
#> [28,] 0.140602149 0.067729105 0.03615528 -0.13093740 -0.1643788 0.185708151
#> [29,] 0.067402812 0.275830678 0.19461084 -0.21086610 -0.1982881 -0.002706845
#> [30,] 0.140439352 0.206498432 0.02642454 -0.26175900 -0.2815895 0.054646999
#> [31,] 0.044358019 0.123270701 0.06584937 -0.08889416 -0.2457940 0.180392227
#> [32,] 0.047548748 0.109153173 0.18620889 -0.10496571 -0.1103615 -0.032819679
#> [33,] 0.055457848 0.149450254 0.17000154 -0.07175611 -0.1996259 0.001483942
#> [34,] 0.147409436 0.151971136 0.17585806 -0.18597006 -0.2573176 0.060770189
#> [35,] 0.087205401 0.111649922 0.13712790 0.03560198 -0.1834650 0.044246859
#> [36,] 0.067276121 0.142267530 0.04133913 -0.12525754 -0.2632432 0.197284247
#> [37,] 0.230543445 0.213363047 0.25265242 -0.37547347 -0.1850549 -0.058427129
#> [38,] 0.152205841 0.146620038 0.06898155 -0.35276910 -0.2871388 0.130402468
#> [39,] 0.202582898 0.224159524 0.16968707 -0.34877602 -0.2500492 0.072687383
#> [40,] 0.204977192 0.222520411 0.08172979 -0.38580513 -0.2827997 0.134431435
#> [,7] [,8] [,9] [,10]
#> [1,] -0.15479914 0.006559574 -0.024100676 -0.151769801
#> [2,] -0.22014093 -0.019972810 -0.063041683 -0.221505211
#> [3,] -0.12186211 -0.009422431 -0.037651495 -0.078900624
#> [4,] -0.21231342 -0.007953284 -0.080394623 -0.215900811
#> [5,] -0.17238807 0.068224275 -0.114158051 -0.171602465
#> [6,] -0.16350088 0.021061585 -0.074084108 -0.084397623
#> [7,] -0.02164356 0.102137493 -0.012826499 0.097987416
#> [8,] -0.04381416 0.165989867 -0.007060215 0.039176443
#> [9,] -0.01890102 0.066538135 -0.058189077 -0.270011875
#> [10,] -0.20820422 -0.036668460 -0.128906651 0.009086266
#> [11,] -0.19594636 0.110722618 -0.041913760 -0.195623504
#> [12,] -0.25660263 0.080837565 -0.206277517 -0.135036259
#> [13,] -0.32194186 0.002664854 -0.075163585 -0.230401218
#> [14,] -0.30551505 0.076987236 -0.085753557 -0.229857181
#> [15,] -0.14138919 0.059096596 0.001526364 -0.143584563
#> [16,] 0.06667063 0.102615527 -0.180963079 -0.055049915
#> [17,] 0.11029554 -0.016051259 -0.168279701 -0.248992789
#> [18,] -0.17062076 -0.032149811 -0.025961917 -0.127273027
#> [19,] -0.33717353 0.099929788 -0.078908446 -0.233853571
#> [20,] -0.33526642 0.065071069 -0.096975734 -0.212649982
#> [21,] -0.21773809 0.052954527 -0.059758100 -0.178698309
#> [22,] -0.06096315 0.096134283 -0.154107215 -0.229722455
#> [23,] -0.21609837 0.126183957 -0.113801011 -0.160738043
#> [24,] -0.08947966 0.139413784 -0.220921597 -0.124735519
#> [25,] 0.07013246 0.074581247 -0.022979420 -0.055755126
#> [26,] -0.09935213 0.115042016 0.016631190 -0.246906767
#> [27,] -0.28098427 0.028677628 -0.119481340 -0.238121090
#> [28,] -0.15033159 0.051292060 -0.001689981 -0.155437165
#> [29,] -0.08436470 -0.036323536 -0.120359490 -0.138732871
#> [30,] -0.25308295 0.001485129 -0.058709712 -0.189889148
#> [31,] -0.29844686 0.058335382 -0.102489758 -0.236547978
#> [32,] -0.04132092 -0.019271024 0.031722236 -0.045339863
#> [33,] -0.09342617 -0.007224876 -0.020926293 -0.120643573
#> [34,] -0.15085077 0.049115156 -0.112794122 -0.208550495
#> [35,] -0.01892559 0.092183362 0.028851573 -0.102162860
#> [36,] -0.33585114 0.077050421 -0.096664825 -0.272607773
#> [37,] 0.03217013 0.045949316 0.048993738 -0.140354621
#> [38,] -0.31321776 0.028213080 0.009458476 -0.251100134
#> [39,] -0.05502201 0.061483317 -0.073358612 -0.137854444
#> [40,] -0.23927329 0.009667605 0.011500030 -0.206165954
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.010470066 0.05400926
#> [2,] 0.011764117 0.05460498
#> [3,] 0.005622977 0.05917559
#> [4,] 0.012704301 0.05464495
#> [5,] 0.009254491 0.05275809
#> [6,] 0.006935712 0.05383491
#> [7,] -0.001980544 0.05451142
#> [8,] -0.001909610 0.05447494
#> [9,] 0.011087546 0.05719737
#> [10,] 0.009954894 0.05820859
#> [11,] 0.010528488 0.05382104
#> [12,] 0.012346855 0.05184250
#> [13,] 0.011608235 0.05495368
#> [14,] 0.014024236 0.05305661
#> [15,] 0.008591118 0.05547887
#> [16,] 0.003065004 0.05330926
#> [17,] 0.008617698 0.05174015
#> [18,] 0.009643957 0.05576784
#> [19,] 0.014792134 0.05380785
#> [20,] 0.013034093 0.05244828
#> [21,] 0.009584167 0.05074006
#> [22,] 0.007744200 0.05211146
#> [23,] 0.006869859 0.05154815
#> [24,] 0.006265669 0.05021897
#> [25,] 0.003065773 0.06135213
#> [26,] 0.008964009 0.05753685
#> [27,] 0.013416641 0.05104137
#> [28,] 0.009458481 0.05502358
#> [29,] 0.006064797 0.05431789
#> [30,] 0.011702436 0.05751104
#> [31,] 0.012607248 0.05182577
#> [32,] 0.005249585 0.05937087
#> [33,] 0.007032172 0.05555135
#> [34,] 0.010538949 0.05437994
#> [35,] 0.004227898 0.05301644
#> [36,] 0.013878591 0.05209968
#> [37,] 0.005905291 0.06320817
#> [38,] 0.015002690 0.06169950
#> [39,] 0.006219534 0.05789244
#> [40,] 0.012290281 0.06104422
#>
#>
#> $e
#> [,1] [,2]
#> [1,] -0.4891169 0.4891169
#> [2,] 0.5107086 -0.5107086
#> [3,] -0.4866150 0.4866150
#> [4,] 0.5104836 -0.5104836
#> [5,] 0.5108742 -0.5108742
#> [6,] 0.5117227 -0.5117227
#> [7,] 0.5141192 -0.5141192
#> [8,] -0.4859076 0.4859076
#> [9,] 0.5115254 -0.5115254
#> [10,] 0.5120611 -0.5120611
#> [11,] 0.5108214 -0.5108214
#> [12,] 0.5098726 -0.5098726
#> [13,] -0.4891653 0.4891653
#> [14,] 0.5097569 -0.5097569
#> [15,] -0.4882802 0.4882802
#> [16,] 0.5125584 -0.5125584
#> [17,] -0.4892211 0.4892211
#> [18,] 0.5115289 -0.5115289
#> [19,] 0.5097527 -0.5097527
#> [20,] 0.5098523 -0.5098523
#> [21,] -0.4897125 0.4897125
#> [22,] 0.5110900 -0.5110900
#> [23,] -0.4888323 0.4888323
#> [24,] -0.4890134 0.4890134
#> [25,] -0.4854325 0.4854325
#> [26,] -0.4878592 0.4878592
#> [27,] 0.5094051 -0.5094051
#> [28,] -0.4886107 0.4886107
#> [29,] -0.4879391 0.4879391
#> [30,] 0.5114501 -0.5114501
#> [31,] 0.5098034 -0.5098034
#> [32,] -0.4864730 0.4864730
#> [33,] 0.5121274 -0.5121274
#> [34,] 0.5109585 -0.5109585
#> [35,] 0.5121947 -0.5121947
#> [36,] 0.5095541 -0.5095541
#> [37,] -0.4856782 0.4856782
#> [38,] -0.4883279 0.4883279
#> [39,] -0.4870846 0.4870846
#> [40,] -0.4878139 0.4878139
#>
#> $L
#> [1] 0.6926897 0.7003693 0.8117824 0.6984345 0.7128864 0.6945817
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.4927536