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,] -0.2743852 -0.19749525 -0.14356739 -0.004771695 -0.051564107 -0.078057878
#> [2,] -0.3750130 -0.17527418 -0.11895597 -0.114994507 0.005919399 -0.002835036
#> [3,] -0.2739906 -0.15912671 -0.15893184 -0.146800466 -0.159405498 -0.136799637
#> [4,] -0.3223352 0.01099408 -0.10459784 -0.087323825 0.078352025 -0.024616872
#> [5,] -0.3101595 -0.02283465 0.03493207 0.011163481 -0.135183677 -0.108532389
#> [6,] -0.3152467 -0.04294344 -0.05111209 -0.129472768 -0.058704612 -0.063916850
#> [7,] -0.2346373 -0.12739067 -0.17210755 -0.164707068 -0.116073864 -0.039532309
#> [8,] -0.1808503 -0.13594631 -0.13660216 -0.091453688 -0.029556664 -0.004439139
#> [9,] -0.3403686 -0.06460593 -0.01680843 -0.157023839 -0.106885369 -0.001116896
#> [10,] -0.3149078 -0.22797509 -0.07067891 -0.162200464 -0.066311030 -0.146628162
#> V15 V16 V17 V18 V19 V2
#> [1,] -0.088942371 -0.04354318 0.106126202 0.118174308 0.10359063 -0.2024329
#> [2,] 0.057538294 0.05068495 0.008669862 0.145031711 0.14981106 -0.3353689
#> [3,] -0.161630635 -0.13390554 -0.141556248 -0.109281149 -0.03870413 -0.2050394
#> [4,] 0.040513653 0.01099001 0.037002163 0.165878992 0.12675997 -0.3322370
#> [5,] -0.030858771 0.05184608 -0.108539758 -0.106997121 -0.04726064 -0.3631502
#> [6,] -0.005132935 -0.06125071 -0.108164145 -0.021742896 0.09884654 -0.1933806
#> [7,] -0.073664717 -0.01418429 0.090838263 0.064211428 0.12277925 -0.3071204
#> [8,] -0.157571995 -0.02738979 0.046434157 -0.087911724 -0.05479315 -0.1627303
#> [9,] -0.010805890 -0.13258015 -0.088935171 0.044516837 0.03587839 -0.3721865
#> [10,] 0.024673890 -0.13144689 -0.127751064 0.004690184 0.01107290 -0.2393339
#> V20 V21 V22 V23 V24
#> [1,] 0.022393909 0.169975837 0.14512011 0.2930972794 0.31317574
#> [2,] 0.194479101 0.227016649 0.04465965 0.1182267217 0.19521181
#> [3,] 0.007383412 -0.044802767 -0.11559680 0.0001651108 0.04471663
#> [4,] 0.197500289 0.228244385 0.23092003 0.1138025896 0.03546578
#> [5,] 0.098380368 -0.005588596 0.09803488 0.0886127140 0.13347003
#> [6,] 0.002720461 0.054654188 0.11226732 0.1439783782 0.03064510
#> [7,] 0.042646126 0.122065083 0.12912908 0.0803553408 0.09263028
#> [8,] -0.018670952 -0.101339045 0.10532626 0.0301745479 0.06650253
#> [9,] 0.041798765 0.102161337 0.16081598 0.1260560783 0.14538475
#> [10,] -0.081950922 0.068604267 0.04929857 -0.0339314624 -0.01963335
#> V25 V26 V27 V28 V29 V3
#> [1,] 0.23047176 0.24906639 0.25901873 0.15529288 0.19554852 -0.3162067
#> [2,] 0.19475208 0.16011091 0.16891690 0.22294350 0.11988156 -0.2940239
#> [3,] 0.09110596 0.06940061 0.02540992 -0.02542179 0.06433771 -0.1874813
#> [4,] 0.16357310 0.07434282 0.20735099 0.05605955 0.16255424 -0.2950672
#> [5,] 0.03077055 0.11995160 0.07930235 0.12963665 0.01157839 -0.2590913
#> [6,] 0.23857155 0.15787422 0.11068838 0.16985179 0.13791256 -0.2656119
#> [7,] 0.16283220 0.24789081 0.12493681 0.16774057 0.06442063 -0.2757105
#> [8,] 0.18138098 0.07334831 0.11210140 0.14901841 0.11298839 -0.1943792
#> [9,] 0.14782488 0.18990334 0.17425385 0.09564150 0.06836468 -0.3444063
#> [10,] -0.05814602 0.11475979 0.09899800 -0.03509489 0.03604377 -0.2482329
#> V30 V31 V32 V33 V34
#> [1,] 0.12058977 0.100299281 -0.0002488765 0.028092311 -0.02812242
#> [2,] 0.04041985 -0.030099249 -0.1107363263 -0.032852421 -0.03629951
#> [3,] -0.09314834 -0.092458662 -0.1200024286 -0.126334424 -0.10992483
#> [4,] 0.14879542 0.010155674 -0.0077051818 0.020101176 -0.07613193
#> [5,] 0.12652426 0.092354175 -0.0010784132 -0.009798899 -0.06343047
#> [6,] -0.03346215 -0.065976279 -0.0723771421 -0.151758005 -0.17494032
#> [7,] 0.15020554 -0.032198452 0.0353623033 0.013893504 -0.07545867
#> [8,] 0.02001599 -0.041254365 0.1066873434 -0.088955844 0.06189610
#> [9,] 0.08573166 0.082355367 0.0022475516 0.101117032 0.04355418
#> [10,] -0.06531503 0.006104757 -0.1242658699 -0.017193919 -0.12689829
#> V35 V36 V37 V38 V39 V4
#> [1,] -0.04746715 0.01578321 0.006331723 0.052516788 -0.06634108 -0.2887439
#> [2,] -0.03010250 -0.10482698 -0.005635956 -0.119027122 -0.05660086 -0.3308271
#> [3,] -0.13800183 -0.12287172 -0.012808723 -0.099964099 -0.03731402 -0.2666613
#> [4,] 0.04426805 -0.08658370 0.055414262 -0.009872284 0.03241648 -0.2819032
#> [5,] -0.14283350 0.01913514 -0.163619366 -0.061030422 -0.12382477 -0.2113956
#> [6,] -0.02339978 -0.13564867 -0.093680914 -0.140327021 -0.04800534 -0.2375479
#> [7,] 0.08924533 0.04998936 0.057505264 -0.062958760 -0.05068073 -0.3320496
#> [8,] 0.01308141 0.07177140 -0.077823706 -0.008639445 -0.13409038 -0.2050855
#> [9,] -0.02506080 -0.09667113 -0.099929582 -0.050438923 -0.09128570 -0.3282872
#> [10,] -0.11767394 -0.02934515 -0.077526120 -0.156885679 -0.13667609 -0.1759085
#> V40 V41 V42 V43 V44 V45
#> [1,] -0.063274003 -0.09343743 -0.08139825 0.05795853 -0.07734870 -0.13019029
#> [2,] -0.135090916 -0.05473795 0.03591277 -0.12899760 -0.16898045 -0.05184631
#> [3,] -0.138547152 -0.13566353 -0.15989903 -0.02986585 -0.22609504 -0.16273138
#> [4,] 0.006040684 0.02076398 -0.09506238 -0.16833886 -0.15435665 -0.07832902
#> [5,] 0.020055488 -0.07480176 0.02049496 -0.03274520 -0.02631819 -0.16721862
#> [6,] -0.051117593 -0.18265616 -0.21902643 -0.20476222 -0.09752979 -0.22764360
#> [7,] -0.148282232 -0.08828121 -0.06173495 -0.05863649 -0.10216066 -0.15221430
#> [8,] -0.076198265 -0.07967392 -0.05544867 -0.16614631 -0.04944356 -0.22237513
#> [9,] -0.014219133 -0.02417255 -0.11362139 -0.08848062 -0.07091293 -0.07742867
#> [10,] -0.110743049 -0.08763902 -0.12664858 -0.06900700 -0.19752533 -0.13189636
#> V46 V47 V48 V49 V5 V50
#> [1,] -0.15123142 -0.1484763 -0.1598695 -0.2934110 -0.2827384 -0.3835133
#> [2,] -0.24908870 -0.1884401 -0.2606783 -0.3619206 -0.2920781 -0.3761232
#> [3,] -0.29231337 -0.2569709 -0.2604113 -0.2700390 -0.2641308 -0.3472669
#> [4,] -0.12034886 -0.2565747 -0.2574874 -0.3498947 -0.1535765 -0.3565087
#> [5,] -0.12023213 -0.2396521 -0.2967507 -0.1787387 -0.3139157 -0.3772386
#> [6,] -0.16547541 -0.1437361 -0.2025626 -0.3186067 -0.2344780 -0.2492586
#> [7,] -0.09318929 -0.2094429 -0.2685947 -0.2190102 -0.3007850 -0.3986990
#> [8,] -0.25082029 -0.2346734 -0.2988893 -0.2264664 -0.1259377 -0.3295945
#> [9,] -0.12710888 -0.1510037 -0.1542868 -0.3424190 -0.2174032 -0.2590491
#> [10,] -0.15291574 -0.1672077 -0.3038541 -0.3087515 -0.2109911 -0.2002582
#> V51 V52 V53 V54 V55 V56
#> [1,] -0.3078476 -0.3642542 -0.3926196 -0.2860882 -0.2809569 -0.3886257
#> [2,] -0.3362890 -0.3476075 -0.4144362 -0.4094967 -0.2815297 -0.4200665
#> [3,] -0.3762959 -0.2402093 -0.4053791 -0.3894229 -0.3445656 -0.3061829
#> [4,] -0.3777322 -0.4076924 -0.3468097 -0.4178609 -0.3965424 -0.4087983
#> [5,] -0.3318759 -0.3306825 -0.2991888 -0.3059094 -0.3892778 -0.4013892
#> [6,] -0.3651454 -0.3154460 -0.2844790 -0.2933471 -0.2055128 -0.2767366
#> [7,] -0.3510192 -0.2831401 -0.3437369 -0.3540053 -0.2983818 -0.3070052
#> [8,] -0.3319649 -0.2354220 -0.2736505 -0.3080423 -0.2671550 -0.2801116
#> [9,] -0.3561239 -0.3372609 -0.2937474 -0.3253085 -0.4515495 -0.3112979
#> [10,] -0.2160519 -0.3789929 -0.3067962 -0.3691968 -0.3030985 -0.2969371
#> V57 V58 V59 V6 V60 V7
#> [1,] -0.4028074 -0.3102250 -0.4358890 -0.1554960 -0.4188084 -0.1009520
#> [2,] -0.3982509 -0.3796458 -0.3069611 -0.2620049 -0.3347528 -0.1756782
#> [3,] -0.3149219 -0.2630679 -0.3595010 -0.1894884 -0.3997936 -0.1728590
#> [4,] -0.4179850 -0.3584629 -0.2962711 -0.2062350 -0.3801245 -0.2113917
#> [5,] -0.3624876 -0.3205405 -0.3721637 -0.1392902 -0.3897191 -0.1608198
#> [6,] -0.3509435 -0.2850464 -0.2588752 -0.1888252 -0.3072809 -0.1881667
#> [7,] -0.3488904 -0.4301188 -0.3512368 -0.1351611 -0.3882712 -0.1248455
#> [8,] -0.2114211 -0.2954549 -0.2401564 -0.2786067 -0.1899953 -0.2835422
#> [9,] -0.4088138 -0.4796682 -0.4150692 -0.2163925 -0.3204183 -0.2471895
#> [10,] -0.3301125 -0.3207499 -0.2154320 -0.1852200 -0.2525181 -0.1876009
#> V8 V9
#> [1,] -0.08443395 -0.08808995
#> [2,] -0.13713341 -0.03113196
#> [3,] -0.25575360 -0.21257479
#> [4,] -0.16569427 -0.03525739
#> [5,] -0.18700758 -0.11049674
#> [6,] -0.15545316 -0.10442108
#> [7,] -0.13641643 -0.19092053
#> [8,] -0.22578206 -0.22576139
#> [9,] -0.21114305 -0.22542955
#> [10,] -0.12089324 -0.20973288
#>
#> $W[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 0.1859713 0.1683982 -0.07864235 0.05987967 0.158222920 0.02931832
#> [2,] -0.0730239 -0.1841056 0.07513911 -0.21664665 0.007288549 0.02750759
#> [,7] [,8] [,9] [,10]
#> [1,] 0.01042987 -0.05336786 -0.01117293 -0.077209876
#> [2,] -0.04895838 -0.08153626 -0.16669948 0.007402292
#>
#>
#> $vW
#> $vW[[1]]
#> V1 V10 V11 V12 V13
#> [1,] -1.439145e-05 -0.0001844551 -0.0002932109 -0.0002773178 -0.0002591350
#> [2,] -1.715772e-04 -0.0013435703 -0.0017416462 -0.0017190794 -0.0016481911
#> [3,] 2.935869e-04 0.0022957807 0.0029198294 0.0029887430 0.0028973346
#> [4,] -2.591629e-05 -0.0002715503 -0.0004273442 -0.0004300242 -0.0003935135
#> [5,] 4.469491e-05 0.0002347186 0.0001810423 0.0001896216 0.0002321742
#> [6,] 2.417177e-04 0.0017783599 0.0021694875 0.0022002443 0.0021846470
#> [7,] 2.222231e-04 0.0015414814 0.0018174062 0.0018064228 0.0018135109
#> [8,] 1.198027e-04 0.0008569552 0.0010108122 0.0010460266 0.0011020100
#> [9,] 6.455690e-05 0.0003819056 0.0003710671 0.0003753386 0.0004080918
#> [10,] 1.974001e-04 0.0015189241 0.0019234460 0.0019742852 0.0019343742
#> V14 V15 V16 V17 V18
#> [1,] 1.062469e-05 0.0003543867 0.0003714317 0.0002889345 0.0002562839
#> [2,] -9.306086e-04 -0.0002112290 -0.0003206543 -0.0005458246 -0.0007000384
#> [3,] 2.214828e-03 0.0018239421 0.0022144832 0.0025967591 0.0029942825
#> [4,] 1.926078e-05 0.0004781223 0.0004617940 0.0003337466 0.0003058432
#> [5,] 5.578578e-04 0.0009313634 0.0010067590 0.0010060454 0.0010454815
#> [6,] 1.932041e-03 0.0018580627 0.0021203670 0.0023284307 0.0026225721
#> [7,] 1.741027e-03 0.0017930458 0.0020028091 0.0021197162 0.0023155743
#> [8,] 1.157232e-03 0.0012299879 0.0014166007 0.0015865433 0.0017408994
#> [9,] 6.671026e-04 0.0009973188 0.0010902588 0.0010931627 0.0011381315
#> [10,] 1.543772e-03 0.0013282122 0.0015848148 0.0018360407 0.0021014629
#> V19 V2 V20 V21 V22
#> [1,] 0.0001293837 3.675180e-05 -7.116002e-06 0.0002475724 0.0006551830
#> [2,] -0.0013023784 -1.168711e-04 -1.965196e-03 -0.0015397093 -0.0005998600
#> [3,] 0.0038651507 3.143925e-04 4.575837e-03 0.0046518928 0.0041636732
#> [4,] 0.0001189680 2.877511e-05 -7.767723e-05 0.0002451050 0.0007340972
#> [5,] 0.0010050620 1.032510e-04 1.015925e-03 0.0013095734 0.0016920393
#> [6,] 0.0032513376 2.925370e-04 3.833558e-03 0.0040443498 0.0038657487
#> [7,] 0.0027833462 2.853330e-04 3.332965e-03 0.0035401967 0.0034043361
#> [8,] 0.0019420307 1.589802e-04 2.202127e-03 0.0024013930 0.0025154120
#> [9,] 0.0011570143 1.253719e-04 1.223479e-03 0.0014994830 0.0017997847
#> [10,] 0.0026671688 2.166154e-04 3.138383e-03 0.0032191586 0.0029385627
#> V23 V24 V25 V26 V27
#> [1,] 8.869240e-04 0.0010858534 0.0012292878 0.0012289305 0.0010218918
#> [2,] -4.395707e-05 0.0004714523 0.0008978022 0.0008486469 0.0003165388
#> [3,] 3.673204e-03 0.0032348716 0.0026357980 0.0025648110 0.0029382228
#> [4,] 1.049884e-03 0.0013463700 0.0015990201 0.0016076533 0.0012993321
#> [5,] 1.899200e-03 0.0020651029 0.0022457622 0.0022757556 0.0020664515
#> [6,] 3.639134e-03 0.0034123557 0.0031483333 0.0031739808 0.0033194557
#> [7,] 3.269671e-03 0.0031278081 0.0030061350 0.0030745439 0.0031503171
#> [8,] 2.573098e-03 0.0025979482 0.0026118459 0.0026460657 0.0026035576
#> [9,] 1.955453e-03 0.0020772531 0.0021924314 0.0022157341 0.0020488306
#> [10,] 2.647278e-03 0.0023807584 0.0020125891 0.0019681565 0.0021814392
#> V28 V29 V3 V30 V31
#> [1,] 0.0007056932 0.0006807715 5.197165e-05 0.0006991232 0.0006656765
#> [2,] -0.0004417389 -0.0002496966 -1.017130e-04 -0.0000753042 0.0002451067
#> [3,] 0.0033804671 0.0029210292 3.426273e-04 0.0024550829 0.0017029158
#> [4,] 0.0008896121 0.0008919421 4.933530e-05 0.0009159710 0.0008538854
#> [5,] 0.0017605968 0.0016776764 1.334955e-04 0.0016322173 0.0014204269
#> [6,] 0.0034750266 0.0030846481 3.240276e-04 0.0027369529 0.0020581505
#> [7,] 0.0032645202 0.0029249252 3.174528e-04 0.0026812543 0.0020986386
#> [8,] 0.0025067695 0.0023157104 1.851881e-04 0.0021023099 0.0017519675
#> [9,] 0.0018103323 0.0016994939 1.545943e-04 0.0016473053 0.0014071386
#> [10,] 0.0024411266 0.0021387361 2.366396e-04 0.0018217333 0.0013122500
#> V32 V33 V34 V35 V36
#> [1,] 0.0001951245 0.0001951642 0.0003051879 0.0005322012 0.0007762165
#> [2,] -0.0006747469 -0.0005990485 -0.0002223673 0.0004129887 0.0009906904
#> [3,] 0.0021140121 0.0018349013 0.0012710378 0.0006373881 0.0002650326
#> [4,] 0.0002024572 0.0002479066 0.0004337968 0.0007396687 0.0010081919
#> [5,] 0.0008509344 0.0008421783 0.0009057517 0.0010556094 0.0012087747
#> [6,] 0.0019925958 0.0018239816 0.0015045883 0.0011314678 0.0009083335
#> [7,] 0.0019286790 0.0018301615 0.0016301617 0.0013958095 0.0012182466
#> [8,] 0.0015225351 0.0014764253 0.0013468993 0.0012471641 0.0012060852
#> [9,] 0.0009127912 0.0008916903 0.0009245576 0.0010427030 0.0011700121
#> [10,] 0.0015165327 0.0013367649 0.0009761250 0.0005718067 0.0003222176
#> V37 V38 V39 V4 V40
#> [1,] 0.0006065540 0.0003223482 0.0002670173 2.771162e-06 3.361571e-04
#> [2,] 0.0005656523 -0.0002791455 -0.0004405590 -2.536101e-04 -7.289539e-05
#> [3,] 0.0007814760 0.0015406703 0.0017982785 5.166514e-04 1.398315e-03
#> [4,] 0.0007464602 0.0003984303 0.0003312967 -4.325685e-07 4.184657e-04
#> [5,] 0.0010509071 0.0008052063 0.0007174314 1.186691e-04 7.347362e-04
#> [6,] 0.0011234146 0.0016223632 0.0017739251 4.482545e-04 1.415320e-03
#> [7,] 0.0012928307 0.0016167645 0.0016667300 4.222819e-04 1.354661e-03
#> [8,] 0.0011651071 0.0011462119 0.0011223039 2.279897e-04 1.045446e-03
#> [9,] 0.0010444467 0.0008734588 0.0008085900 1.528474e-04 7.861437e-04
#> [10,] 0.0006267949 0.0011002254 0.0012596229 3.497317e-04 9.955582e-04
#> V41 V42 V43 V44 V45
#> [1,] 3.841423e-04 0.0003199578 0.0002359402 0.0001303047 -6.845632e-05
#> [2,] -2.457424e-05 -0.0002656494 -0.0003475269 -0.0004945181 -1.024588e-03
#> [3,] 1.244001e-03 0.0014833921 0.0015606000 0.0015747394 1.813404e-03
#> [4,] 4.507296e-04 0.0003827073 0.0002810982 0.0001056727 -1.606057e-04
#> [5,] 7.614716e-04 0.0007430801 0.0005820377 0.0003928953 2.471437e-04
#> [6,] 1.324428e-03 0.0015297398 0.0014712375 0.0013259790 1.455772e-03
#> [7,] 1.318617e-03 0.0014833620 0.0013490636 0.0011669471 1.278056e-03
#> [8,] 1.027724e-03 0.0010713313 0.0009275924 0.0007845645 7.420527e-04
#> [9,] 8.132409e-04 0.0008120882 0.0006602501 0.0004868856 3.724779e-04
#> [10,] 9.055507e-04 0.0010716060 0.0010926212 0.0010708881 1.205988e-03
#> V46 V47 V48 V49 V5
#> [1,] -0.0001071807 6.027625e-05 3.884604e-05 1.209237e-05 2.568306e-05
#> [2,] -0.0009334135 -3.599353e-04 -2.742709e-04 -1.821241e-04 -2.357482e-04
#> [3,] 0.0015140699 9.526348e-04 6.784054e-04 4.296336e-04 6.355192e-04
#> [4,] -0.0001970192 3.368083e-05 3.239785e-05 8.840699e-06 1.273570e-05
#> [5,] 0.0001510222 2.491173e-04 1.976501e-04 1.003073e-04 1.382249e-04
#> [6,] 0.0011597726 8.008704e-04 6.007391e-04 3.653254e-04 5.212893e-04
#> [7,] 0.0010162660 7.235455e-04 5.591050e-04 3.259688e-04 4.641903e-04
#> [8,] 0.0005813432 4.539239e-04 3.460173e-04 1.952596e-04 2.868511e-04
#> [9,] 0.0002570749 3.021224e-04 2.351678e-04 1.259399e-04 1.771643e-04
#> [10,] 0.0010024753 6.472750e-04 4.625134e-04 2.898447e-04 4.321003e-04
#> V50 V51 V52 V53 V54
#> [1,] -4.014861e-06 3.606764e-06 1.733953e-06 4.826782e-06 3.985100e-06
#> [2,] -8.267652e-05 -6.052260e-05 -6.435181e-05 -2.689260e-05 -3.085699e-05
#> [3,] 1.529094e-04 1.377719e-04 1.245778e-04 7.153103e-05 7.465809e-05
#> [4,] -6.018766e-06 1.164640e-06 -8.193198e-07 6.552988e-06 5.154767e-06
#> [5,] 3.430716e-05 3.193756e-05 2.933440e-05 2.437705e-05 2.347720e-05
#> [6,] 1.330745e-04 1.192256e-04 1.109343e-04 6.879175e-05 7.053274e-05
#> [7,] 1.205638e-04 1.094976e-04 1.046434e-04 6.648318e-05 6.725671e-05
#> [8,] 7.273980e-05 6.434586e-05 5.793212e-05 4.041337e-05 4.066173e-05
#> [9,] 4.256167e-05 4.018713e-05 3.769845e-05 2.824865e-05 2.765136e-05
#> [10,] 1.041822e-04 9.504637e-05 8.553048e-05 5.050818e-05 5.194645e-05
#> V55 V56 V57 V58 V59
#> [1,] 4.765338e-06 8.636935e-06 1.098588e-05 2.832425e-06 1.194401e-05
#> [2,] -2.185530e-05 -2.143954e-06 7.076992e-07 -1.778405e-05 -2.398691e-06
#> [3,] 5.424021e-05 3.563742e-05 3.226999e-05 5.631192e-05 4.609238e-05
#> [4,] 5.639010e-06 1.263690e-05 1.369180e-05 4.700422e-06 1.430353e-05
#> [5,] 1.963551e-05 2.269417e-05 2.295738e-05 1.661888e-05 2.252762e-05
#> [6,] 5.395286e-05 4.044330e-05 3.610305e-05 5.106202e-05 4.593667e-05
#> [7,] 5.328817e-05 4.050364e-05 3.827538e-05 4.716920e-05 4.543072e-05
#> [8,] 3.369638e-05 2.822705e-05 2.809021e-05 2.915092e-05 2.923905e-05
#> [9,] 2.303772e-05 2.352687e-05 2.403164e-05 1.970931e-05 2.527480e-05
#> [10,] 3.863328e-05 2.659459e-05 2.415550e-05 3.946153e-05 3.309008e-05
#> V6 V60 V7 V8 V9
#> [1,] 8.447320e-05 1.297877e-05 7.685547e-05 3.912981e-05 -0.0001443771
#> [2,] -1.534860e-04 4.145659e-06 -1.986886e-04 -3.842070e-04 -0.0011441721
#> [3,] 6.426606e-04 3.183233e-05 7.420041e-04 9.969149e-04 0.0019061807
#> [4,] 7.606968e-05 1.647442e-05 9.262390e-05 4.195995e-05 -0.0002185274
#> [5,] 2.202737e-04 2.418960e-05 2.528078e-04 2.552483e-04 0.0002116888
#> [6,] 5.698694e-04 3.723025e-05 6.685656e-04 8.580605e-04 0.0015028620
#> [7,] 5.269566e-04 3.950248e-05 6.223990e-04 7.874105e-04 0.0013163481
#> [8,] 3.704247e-04 2.569048e-05 4.307339e-04 4.980075e-04 0.0007272004
#> [9,] 2.525256e-04 2.539349e-05 2.886120e-04 3.116505e-04 0.0003363556
#> [10,] 4.516270e-04 2.362413e-05 5.216660e-04 6.858503e-04 0.0012654703
#>
#> $vW[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] -0.06033295 -0.05556614 -0.006115501 -0.0619978 -0.04013232 -0.02913638
#> [2,] 0.06033295 0.05556614 0.006115501 0.0619978 0.04013232 0.02913638
#> [,7] [,8] [,9] [,10]
#> [1,] -0.0463997 -0.01932239 -0.0460215 -0.009132338
#> [2,] 0.0463997 0.01932239 0.0460215 0.009132338
#>
#>
#> $B
#> $B[[1]]
#> [1] 0.6848558 0.7468817 0.5559901 0.6860942 0.5799809 0.1818907 0.5403908
#> [8] 0.1432502 0.5840373 0.0963148
#>
#> $B[[2]]
#> [1] 0.1848230 -0.1453627
#>
#>
#> $vB
#> $vB[[1]]
#> [1] 1.295170e-03 9.254007e-05 4.274405e-03 1.689692e-03 2.832764e-03
#> [6] 4.768357e-03 4.664307e-03 3.651426e-03 2.889807e-03 3.178261e-03
#>
#> $vB[[2]]
#> [1] -0.07700178 0.07700178
#>
#>
#> $post
#> $post[[1]]
#> V1 V10 V11 V12 V13 V14 V15 V16 V17 V18
#> [1,] 0.0257 0.0561 0.0891 0.0861 0.1531 0.1524 0.1849 0.2871 0.2009 0.2748
#> [2,] 0.0130 0.1483 0.1532 0.1100 0.0890 0.1236 0.1197 0.1145 0.2137 0.2838
#> [3,] 0.0015 0.1476 0.2118 0.2575 0.2354 0.1334 0.0092 0.1951 0.3685 0.4646
#> [4,] 0.0123 0.0835 0.0548 0.0847 0.2026 0.2557 0.1870 0.2032 0.1463 0.2849
#> [5,] 0.0065 0.1109 0.0937 0.0827 0.0920 0.0911 0.1487 0.1666 0.1268 0.1374
#> [6,] 0.0095 0.3745 0.4229 0.4499 0.5404 0.4303 0.3333 0.3496 0.3426 0.2851
#> [7,] 0.0130 0.1375 0.2026 0.2389 0.2112 0.1444 0.0742 0.1533 0.3052 0.4116
#> [8,] 0.0209 0.4125 0.3943 0.1334 0.4622 0.9970 0.9137 0.8292 0.6994 0.7825
#> [9,] 0.0151 0.1205 0.0847 0.1518 0.2305 0.2793 0.3404 0.4527 0.6950 0.8807
#> [10,] 0.0261 0.2013 0.2890 0.3650 0.3510 0.3495 0.4325 0.5398 0.6237 0.6876
#> [11,] 0.0335 0.2660 0.3188 0.3553 0.3116 0.1965 0.1780 0.2794 0.2870 0.3969
#> [12,] 0.0315 0.1533 0.2128 0.2536 0.2686 0.2803 0.1886 0.1485 0.2160 0.2417
#> [13,] 0.0188 0.1806 0.2139 0.1523 0.1975 0.4844 0.7298 0.7807 0.7906 0.6122
#> [14,] 0.0635 0.3900 0.4674 0.5632 0.5506 0.4343 0.3052 0.3492 0.3975 0.3875
#> [15,] 0.0411 0.2300 0.1370 0.1335 0.2137 0.1526 0.0775 0.1196 0.0903 0.0689
#> [16,] 0.0162 0.1334 0.2969 0.4754 0.5677 0.5690 0.6421 0.7487 0.8999 1.0000
#> [17,] 0.0409 0.2259 0.2373 0.3323 0.3827 0.4840 0.6812 0.7555 0.9522 0.9826
#> [18,] 0.1371 0.2067 0.4257 0.5484 0.7131 0.7003 0.6777 0.7939 0.9382 0.8925
#> [19,] 0.0025 0.1430 0.0994 0.2250 0.2444 0.3239 0.3039 0.2410 0.0367 0.1672
#> [20,] 0.0516 0.1294 0.2646 0.2778 0.4432 0.3672 0.2035 0.2764 0.3252 0.1536
#> [21,] 0.0207 0.1234 0.1796 0.1787 0.1247 0.2577 0.3370 0.3990 0.1647 0.2266
#> [22,] 0.0258 0.2954 0.2506 0.2601 0.2249 0.2115 0.1270 0.1193 0.1794 0.2185
#> [23,] 0.0091 0.0837 0.1579 0.0898 0.0309 0.1856 0.2969 0.2032 0.1264 0.1655
#> [24,] 0.0317 0.3513 0.1786 0.0658 0.0513 0.3752 0.5419 0.5440 0.5150 0.4262
#> [25,] 0.0072 0.2318 0.2472 0.2880 0.2126 0.0708 0.1194 0.2808 0.4221 0.5279
#> [26,] 0.0346 0.1508 0.1809 0.2390 0.2947 0.2866 0.4010 0.5325 0.5486 0.5823
#> [27,] 0.0152 0.1504 0.1911 0.2115 0.2249 0.2573 0.1701 0.2023 0.2538 0.3417
#> [28,] 0.0208 0.1093 0.1063 0.1179 0.1291 0.1591 0.1680 0.1918 0.1615 0.1647
#> [29,] 0.0117 0.2169 0.1180 0.0754 0.2782 0.3758 0.5093 0.6592 0.7071 0.7532
#> [30,] 0.0329 0.2672 0.3056 0.3161 0.2314 0.2067 0.1804 0.2808 0.4423 0.5947
#> [31,] 0.0293 0.0751 0.0528 0.1209 0.1763 0.2039 0.2727 0.2321 0.2676 0.2934
#> [32,] 0.0163 0.2822 0.3691 0.3750 0.3927 0.3308 0.1085 0.1139 0.3446 0.5441
#> [33,] 0.0094 0.1725 0.2228 0.3106 0.4144 0.5157 0.5369 0.5107 0.6441 0.7326
#> [34,] 0.0790 0.6609 0.5002 0.2583 0.1650 0.4347 0.4515 0.4579 0.3366 0.4000
#> [35,] 0.0335 0.4372 0.5533 0.5771 0.7022 0.7067 0.7367 0.7391 0.8622 0.9458
#> [36,] 0.0201 0.2571 0.2931 0.3108 0.3603 0.3002 0.2718 0.2007 0.1801 0.2234
#> [37,] 0.0423 0.2696 0.3412 0.4292 0.3682 0.3940 0.2965 0.3172 0.2825 0.3050
#> [38,] 0.0087 0.0818 0.1315 0.1862 0.2789 0.2579 0.2240 0.2568 0.2933 0.2991
#> [39,] 0.0180 0.2918 0.3273 0.3035 0.3033 0.2587 0.1682 0.1308 0.2803 0.4519
#> [40,] 0.0158 0.1923 0.2361 0.2719 0.3049 0.2986 0.2226 0.1745 0.2459 0.3100
#> V19 V2 V20 V21 V22 V23 V24 V25 V26 V27
#> [1,] 0.5017 0.0447 0.2172 0.4978 0.5265 0.3647 0.5768 0.5161 0.5715 0.4006
#> [2,] 0.3640 0.0006 0.5430 0.6673 0.7979 0.9273 0.9027 0.9192 1.0000 0.9821
#> [3,] 0.5418 0.0186 0.6260 0.7420 0.8257 0.8609 0.8400 0.8949 0.9945 1.0000
#> [4,] 0.5824 0.0309 0.7728 0.7852 0.8515 0.5312 0.3653 0.5973 0.8275 1.0000
#> [5,] 0.1095 0.0122 0.1286 0.2146 0.2889 0.4238 0.6168 0.8167 0.9622 0.8280
#> [6,] 0.4062 0.0308 0.6833 0.7650 0.6670 0.5703 0.5995 0.6484 0.8614 0.9819
#> [7,] 0.5466 0.0120 0.5933 0.6663 0.7333 0.7136 0.7014 0.7758 0.9137 0.9964
#> [8,] 0.8789 0.0261 0.8501 0.8920 0.9473 1.0000 0.8975 0.7806 0.8321 0.6502
#> [9,] 0.9154 0.0320 0.7542 0.6736 0.7146 0.8335 0.7701 0.6993 0.6543 0.5040
#> [10,] 0.7329 0.0266 0.8107 0.8396 0.8632 0.8747 0.9607 0.9716 0.9121 0.8576
#> [11,] 0.5599 0.0258 0.6936 0.7969 0.7452 0.8203 0.9261 0.8810 0.8814 0.9301
#> [12,] 0.2989 0.0252 0.3341 0.3786 0.3956 0.5232 0.6913 0.7868 0.8337 0.9199
#> [13,] 0.4200 0.0370 0.2807 0.5148 0.7569 0.8596 1.0000 0.8457 0.6797 0.6971
#> [14,] 0.5280 0.0709 0.7198 0.7702 0.8562 0.8688 0.9236 1.0000 0.9662 0.9822
#> [15,] 0.2071 0.0277 0.2975 0.2836 0.3353 0.3622 0.3202 0.3452 0.3562 0.3892
#> [16,] 0.9690 0.0253 0.9032 0.7685 0.6998 0.6644 0.5964 0.3711 0.0921 0.0481
#> [17,] 0.8871 0.0421 0.8268 0.7561 0.8217 0.6967 0.6444 0.6948 0.8014 0.6053
#> [18,] 0.9146 0.1226 0.7832 0.7960 0.7983 0.7716 0.6615 0.4860 0.5572 0.4697
#> [19,] 0.3038 0.0309 0.4069 0.3613 0.1994 0.4611 0.6849 0.7272 0.7152 0.7102
#> [20,] 0.2784 0.0944 0.3508 0.5187 0.7052 0.7143 0.6814 0.5100 0.5308 0.6131
#> [21,] 0.3219 0.0535 0.5356 0.8159 1.0000 0.8701 0.6889 0.6299 0.5738 0.5707
#> [22,] 0.1646 0.0433 0.0740 0.0625 0.2381 0.4824 0.6372 0.7531 0.8959 0.9941
#> [23,] 0.1661 0.0213 0.2091 0.2310 0.4460 0.6634 0.6933 0.7663 0.8206 0.7049
#> [24,] 0.2024 0.0956 0.4233 0.7723 0.9735 0.9390 0.5559 0.5268 0.6826 0.5713
#> [25,] 0.5857 0.0027 0.6153 0.6753 0.7873 0.8974 0.9828 1.0000 0.8460 0.6055
#> [26,] 0.6041 0.0509 0.6749 0.7084 0.7890 0.9284 0.9781 0.9738 1.0000 0.9702
#> [27,] 0.4026 0.0102 0.4553 0.5525 0.5991 0.5854 0.7114 0.9500 0.9858 1.0000
#> [28,] 0.1397 0.0186 0.1426 0.2429 0.2816 0.4290 0.6443 0.9061 1.0000 0.8087
#> [29,] 0.8357 0.0069 0.8593 0.9615 0.9838 0.8705 0.6403 0.5067 0.5395 0.6934
#> [30,] 0.6601 0.0216 0.5844 0.4539 0.4789 0.5646 0.5281 0.7115 1.0000 0.9564
#> [31,] 0.3295 0.0378 0.4910 0.5402 0.6257 0.6826 0.7527 0.8504 0.8938 0.9928
#> [32,] 0.6470 0.0198 0.7276 0.7894 0.8264 0.8697 0.7836 0.7140 0.5698 0.2908
#> [33,] 0.8164 0.0333 0.8856 0.9891 1.0000 0.8750 0.8631 0.9074 0.8674 0.7750
#> [34,] 0.5325 0.0707 0.9010 0.9939 0.3689 0.1012 0.0248 0.2318 0.3981 0.2259
#> [35,] 0.8782 0.0134 0.7913 0.5760 0.3061 0.0563 0.0239 0.2554 0.4862 0.5027
#> [36,] 0.3568 0.0165 0.5492 0.7209 0.8318 0.8864 0.9520 0.9637 1.0000 0.9673
#> [37,] 0.2408 0.0321 0.5420 0.6802 0.6320 0.5824 0.6805 0.5984 0.8412 0.9911
#> [38,] 0.3924 0.0046 0.4691 0.5665 0.6464 0.6774 0.7577 0.8856 0.9419 1.0000
#> [39,] 0.6641 0.0444 0.7683 0.6960 0.4393 0.2432 0.2886 0.4974 0.8172 1.0000
#> [40,] 0.3572 0.0239 0.4283 0.4268 0.3735 0.4585 0.6094 0.7221 0.7595 0.8706
#> V28 V29 V3 V30 V31 V32 V33 V34 V35 V36
#> [1,] 0.3650 0.6685 0.0388 0.8659 0.8052 0.4082 0.3379 0.5092 0.6776 0.7313
#> [2,] 0.9092 0.8184 0.0088 0.6962 0.5900 0.5447 0.5142 0.5389 0.5531 0.5318
#> [3,] 0.9649 0.8747 0.0289 0.6257 0.2184 0.2945 0.3645 0.5012 0.7843 0.9361
#> [4,] 0.8673 0.6301 0.0169 0.4591 0.3940 0.2576 0.2817 0.2641 0.2757 0.2698
#> [5,] 0.5816 0.4667 0.0068 0.3539 0.2727 0.1410 0.1863 0.2176 0.2360 0.1725
#> [6,] 0.9380 0.8435 0.0539 0.6074 0.5403 0.6890 0.5977 0.3244 0.0516 0.3157
#> [7,] 1.0000 0.8881 0.0436 0.6585 0.2707 0.1746 0.2709 0.4853 0.7184 0.8209
#> [8,] 0.4548 0.4732 0.0120 0.3391 0.2747 0.0978 0.0477 0.1403 0.1834 0.2148
#> [9,] 0.4926 0.4992 0.0599 0.4161 0.1631 0.0404 0.0637 0.2962 0.3609 0.1866
#> [10,] 0.8798 0.7720 0.0223 0.5711 0.4264 0.2860 0.3114 0.2066 0.1165 0.0185
#> [11,] 0.9955 0.8576 0.0398 0.6069 0.3934 0.2464 0.1645 0.1140 0.0956 0.0080
#> [12,] 1.0000 0.8990 0.0167 0.6456 0.5967 0.4355 0.2997 0.2294 0.1866 0.0922
#> [13,] 0.5843 0.4772 0.0953 0.5201 0.4241 0.1592 0.1668 0.0588 0.3967 0.7147
#> [14,] 0.7360 0.4158 0.0453 0.2918 0.3280 0.3690 0.3450 0.2863 0.0864 0.3724
#> [15,] 0.6622 0.9254 0.0604 1.0000 0.8528 0.6297 0.5250 0.4012 0.2901 0.2007
#> [16,] 0.0876 0.1040 0.0262 0.1714 0.3264 0.4612 0.3939 0.5050 0.4833 0.3511
#> [17,] 0.6084 0.8877 0.0573 0.8557 0.5563 0.2897 0.3638 0.4786 0.2908 0.0899
#> [18,] 0.5640 0.4517 0.1385 0.3369 0.2684 0.2339 0.3052 0.3016 0.2753 0.1041
#> [19,] 0.8516 1.0000 0.0171 0.7690 0.4841 0.3717 0.6096 0.5110 0.2586 0.0916
#> [20,] 0.8388 0.9031 0.0622 0.8607 0.9656 0.9168 0.7132 0.6898 0.7310 0.4134
#> [21,] 0.5976 0.4301 0.0334 0.2058 0.1000 0.2247 0.2308 0.3977 0.3317 0.1726
#> [22,] 0.9957 0.9328 0.0547 0.9344 0.8854 0.7690 0.6865 0.6390 0.6378 0.6629
#> [23,] 0.7560 0.7466 0.0206 0.6387 0.4846 0.3328 0.5356 0.8741 0.8573 0.6718
#> [24,] 0.5429 0.2177 0.1321 0.2149 0.5811 0.6323 0.2965 0.1873 0.2969 0.5163
#> [25,] 0.3036 0.0144 0.0089 0.2526 0.4335 0.4918 0.5409 0.5961 0.5248 0.3777
#> [26,] 0.9956 0.8235 0.0079 0.6020 0.5342 0.4867 0.3526 0.1566 0.0946 0.1613
#> [27,] 0.9578 0.8642 0.0113 0.7128 0.5893 0.4323 0.2897 0.1744 0.0770 0.2297
#> [28,] 0.6119 0.5260 0.0131 0.3677 0.2746 0.1020 0.1339 0.1582 0.1952 0.1787
#> [29,] 0.8487 0.8213 0.0279 0.5962 0.2950 0.2758 0.2885 0.1893 0.1446 0.0955
#> [30,] 0.6090 0.5112 0.0386 0.4000 0.0482 0.1852 0.2186 0.1436 0.1757 0.1428
#> [31,] 0.9134 0.7080 0.0257 0.6318 0.6126 0.4638 0.2797 0.1721 0.1665 0.2561
#> [32,] 0.4636 0.6409 0.0202 0.7405 0.8069 0.8420 1.0000 0.9536 0.6755 0.3905
#> [33,] 0.6600 0.5615 0.0306 0.4016 0.2331 0.1164 0.1095 0.0431 0.0619 0.1956
#> [34,] 0.5247 0.6898 0.0352 0.8316 0.4326 0.3741 0.5756 0.8043 0.7963 0.7174
#> [35,] 0.4402 0.2847 0.0696 0.1797 0.3560 0.3522 0.3321 0.3112 0.3638 0.0754
#> [36,] 0.8664 0.7896 0.0344 0.6345 0.5351 0.4056 0.2563 0.2894 0.3588 0.4296
#> [37,] 0.9187 0.8005 0.0709 0.6713 0.5632 0.7332 0.6038 0.2575 0.0349 0.1799
#> [38,] 0.8564 0.6790 0.0081 0.5587 0.4147 0.2946 0.2025 0.0688 0.1171 0.2157
#> [39,] 0.9238 0.8519 0.0476 0.7722 0.5772 0.5190 0.6824 0.6220 0.5054 0.3578
#> [40,] 1.0000 0.9815 0.0150 0.7187 0.5848 0.4192 0.3756 0.3263 0.1944 0.1394
#> V37 V38 V39 V4 V40 V41 V42 V43 V44 V45
#> [1,] 0.6062 0.7040 0.8849 0.0239 0.8979 0.7751 0.7247 0.7733 0.7762 0.6009
#> [2,] 0.4826 0.3790 0.1831 0.0456 0.1750 0.1679 0.0674 0.0609 0.0375 0.0533
#> [3,] 0.8195 0.6207 0.4513 0.0195 0.3004 0.2674 0.2241 0.3141 0.3693 0.2986
#> [4,] 0.3994 0.4576 0.3940 0.0313 0.2522 0.1782 0.1354 0.0516 0.0337 0.0894
#> [5,] 0.0589 0.0621 0.1847 0.0108 0.2452 0.2984 0.3041 0.2275 0.1480 0.1102
#> [6,] 0.3590 0.3881 0.5716 0.0411 0.4314 0.3051 0.4393 0.4302 0.4831 0.5084
#> [7,] 0.7536 0.6496 0.4708 0.0624 0.3482 0.3508 0.3181 0.3524 0.3659 0.2846
#> [8,] 0.1271 0.1912 0.3391 0.0768 0.3444 0.2369 0.1195 0.2665 0.2587 0.1393
#> [9,] 0.0476 0.1497 0.2405 0.1050 0.1980 0.3175 0.2379 0.1716 0.1559 0.1556
#> [10,] 0.1302 0.2480 0.1637 0.0749 0.1103 0.2144 0.2033 0.1887 0.1370 0.1376
#> [11,] 0.0702 0.0936 0.0894 0.0570 0.1127 0.0873 0.1020 0.1964 0.2256 0.1814
#> [12,] 0.1829 0.1743 0.2452 0.0479 0.2407 0.2518 0.3184 0.1685 0.0675 0.1186
#> [13,] 0.7319 0.3509 0.0589 0.0824 0.2690 0.4200 0.3874 0.2440 0.2000 0.2307
#> [14,] 0.4649 0.3488 0.1817 0.0333 0.1142 0.1220 0.2621 0.4461 0.4726 0.3263
#> [15,] 0.3356 0.4799 0.6147 0.0525 0.6246 0.4973 0.3492 0.2662 0.3137 0.4282
#> [16,] 0.2319 0.4029 0.3676 0.0386 0.1510 0.0745 0.1395 0.1552 0.0377 0.0636
#> [17,] 0.2043 0.1707 0.0407 0.0130 0.1286 0.1581 0.2191 0.1701 0.0971 0.2217
#> [18,] 0.1757 0.3156 0.3603 0.1484 0.2736 0.1301 0.2458 0.3404 0.1753 0.0679
#> [19,] 0.0947 0.2287 0.3480 0.0228 0.2095 0.1901 0.2941 0.2211 0.1524 0.0746
#> [20,] 0.1580 0.1819 0.1381 0.0415 0.2960 0.6935 0.8246 0.5351 0.4403 0.6448
#> [21,] 0.1429 0.2168 0.1967 0.0818 0.2140 0.3674 0.2023 0.0778 0.0925 0.2388
#> [22,] 0.5983 0.4565 0.3129 0.0681 0.4158 0.4325 0.4031 0.4201 0.4557 0.3955
#> [23,] 0.3446 0.3150 0.2702 0.0505 0.2598 0.2742 0.3594 0.4382 0.2460 0.0758
#> [24,] 0.6153 0.4283 0.5479 0.1408 0.6133 0.5017 0.2377 0.1957 0.1749 0.1304
#> [25,] 0.2369 0.1720 0.1878 0.0061 0.3250 0.2575 0.2423 0.2706 0.2323 0.1724
#> [26,] 0.2824 0.3390 0.3019 0.0243 0.2945 0.2978 0.2676 0.2055 0.2069 0.1625
#> [27,] 0.2459 0.3101 0.3312 0.0263 0.2220 0.0871 0.2064 0.1808 0.1624 0.1120
#> [28,] 0.0429 0.1096 0.1762 0.0211 0.2481 0.3150 0.2920 0.1902 0.0696 0.0758
#> [29,] 0.0888 0.0836 0.0894 0.0583 0.1547 0.2318 0.2225 0.1035 0.1721 0.2017
#> [30,] 0.1644 0.3089 0.3648 0.0627 0.4441 0.3859 0.2813 0.1238 0.0953 0.1201
#> [31,] 0.2735 0.3209 0.2724 0.0062 0.1880 0.1552 0.2522 0.2121 0.1801 0.1473
#> [32,] 0.1249 0.3629 0.6356 0.0386 0.8116 0.7664 0.5417 0.2614 0.1723 0.2814
#> [33,] 0.2120 0.3242 0.4102 0.0376 0.2939 0.1911 0.1702 0.1010 0.1512 0.1427
#> [34,] 0.7056 0.8148 0.7601 0.1660 0.6034 0.4554 0.4729 0.4478 0.3722 0.4693
#> [35,] 0.1834 0.1820 0.1815 0.1180 0.1593 0.0576 0.0954 0.1086 0.0812 0.0784
#> [36,] 0.4773 0.4516 0.3765 0.0330 0.3051 0.1921 0.1184 0.1984 0.1570 0.0660
#> [37,] 0.3039 0.4760 0.5756 0.0108 0.4254 0.5046 0.7179 0.6163 0.5663 0.5749
#> [38,] 0.2216 0.2776 0.2309 0.0230 0.1444 0.1513 0.1745 0.1756 0.1424 0.0908
#> [39,] 0.3809 0.3813 0.3359 0.0698 0.2771 0.3648 0.3834 0.3453 0.2096 0.1031
#> [40,] 0.1670 0.1275 0.1666 0.0494 0.2574 0.2258 0.2777 0.1613 0.1335 0.1976
#> V46 V47 V48 V49 V5 V50 V51 V52 V53 V54
#> [1,] 0.4514 0.3096 0.1859 0.0956 0.1315 0.0206 0.0206 0.0096 0.0153 0.0096
#> [2,] 0.0278 0.0179 0.0114 0.0073 0.0525 0.0116 0.0092 0.0078 0.0041 0.0013
#> [3,] 0.2226 0.0849 0.0359 0.0289 0.0515 0.0122 0.0045 0.0108 0.0075 0.0089
#> [4,] 0.0861 0.0872 0.0445 0.0134 0.0358 0.0217 0.0188 0.0133 0.0265 0.0224
#> [5,] 0.1178 0.0608 0.0333 0.0276 0.0217 0.0100 0.0023 0.0069 0.0025 0.0027
#> [6,] 0.1952 0.1539 0.2037 0.1054 0.0613 0.0251 0.0357 0.0181 0.0019 0.0102
#> [7,] 0.1714 0.0694 0.0303 0.0292 0.0428 0.0116 0.0024 0.0084 0.0100 0.0018
#> [8,] 0.1083 0.1383 0.1321 0.1069 0.1064 0.0325 0.0316 0.0057 0.0159 0.0085
#> [9,] 0.0422 0.0493 0.0476 0.0219 0.1163 0.0059 0.0086 0.0061 0.0015 0.0084
#> [10,] 0.0307 0.0373 0.0606 0.0399 0.1364 0.0169 0.0135 0.0222 0.0175 0.0127
#> [11,] 0.2012 0.1688 0.1037 0.0501 0.0529 0.0136 0.0130 0.0120 0.0039 0.0053
#> [12,] 0.1833 0.1878 0.1114 0.0310 0.0902 0.0143 0.0138 0.0108 0.0062 0.0044
#> [13,] 0.1886 0.1960 0.1701 0.1366 0.0249 0.0398 0.0143 0.0093 0.0033 0.0113
#> [14,] 0.1423 0.0390 0.0406 0.0311 0.0185 0.0086 0.0154 0.0048 0.0025 0.0087
#> [15,] 0.4262 0.3511 0.2458 0.1259 0.0489 0.0327 0.0181 0.0217 0.0038 0.0019
#> [16,] 0.0443 0.0264 0.0223 0.0187 0.0645 0.0077 0.0137 0.0071 0.0082 0.0232
#> [17,] 0.2732 0.1874 0.1062 0.0665 0.0183 0.0405 0.0113 0.0028 0.0036 0.0105
#> [18,] 0.1062 0.0643 0.0532 0.0531 0.1776 0.0272 0.0171 0.0118 0.0129 0.0344
#> [19,] 0.0606 0.0692 0.0446 0.0344 0.0434 0.0082 0.0108 0.0149 0.0077 0.0036
#> [20,] 0.6214 0.3016 0.1379 0.0364 0.0995 0.0355 0.0456 0.0432 0.0274 0.0152
#> [21,] 0.3400 0.2594 0.1102 0.0911 0.0740 0.0462 0.0171 0.0033 0.0050 0.0190
#> [22,] 0.2966 0.2095 0.1558 0.0884 0.0784 0.0265 0.0121 0.0091 0.0062 0.0019
#> [23,] 0.0187 0.0797 0.0748 0.0367 0.0657 0.0155 0.0300 0.0112 0.0112 0.0102
#> [24,] 0.0597 0.1124 0.1047 0.0507 0.1674 0.0159 0.0195 0.0201 0.0248 0.0131
#> [25,] 0.1457 0.1175 0.0868 0.0392 0.0420 0.0131 0.0092 0.0078 0.0071 0.0081
#> [26,] 0.1216 0.1013 0.0744 0.0386 0.0432 0.0050 0.0146 0.0040 0.0122 0.0107
#> [27,] 0.0815 0.1117 0.0950 0.0412 0.0097 0.0120 0.0048 0.0049 0.0041 0.0036
#> [28,] 0.0910 0.0441 0.0244 0.0265 0.0610 0.0095 0.0140 0.0074 0.0063 0.0081
#> [29,] 0.1787 0.1112 0.0398 0.0305 0.0915 0.0084 0.0039 0.0053 0.0029 0.0020
#> [30,] 0.0825 0.0618 0.0141 0.0108 0.1158 0.0124 0.0104 0.0095 0.0151 0.0059
#> [31,] 0.0681 0.1091 0.0919 0.0397 0.0130 0.0093 0.0076 0.0065 0.0072 0.0108
#> [32,] 0.2764 0.1985 0.1502 0.1219 0.0752 0.0493 0.0027 0.0077 0.0026 0.0031
#> [33,] 0.1097 0.1173 0.0972 0.0703 0.1296 0.0281 0.0216 0.0153 0.0112 0.0241
#> [34,] 0.3839 0.0768 0.1467 0.0777 0.1330 0.0469 0.0193 0.0298 0.0390 0.0294
#> [35,] 0.0487 0.0439 0.0586 0.0370 0.0348 0.0185 0.0302 0.0244 0.0232 0.0093
#> [36,] 0.1294 0.0797 0.0052 0.0233 0.0397 0.0152 0.0125 0.0054 0.0057 0.0137
#> [37,] 0.3593 0.2526 0.2299 0.1271 0.1070 0.0356 0.0367 0.0176 0.0035 0.0093
#> [38,] 0.0138 0.0469 0.0480 0.0159 0.0586 0.0045 0.0015 0.0052 0.0038 0.0079
#> [39,] 0.0798 0.0701 0.0526 0.0241 0.1615 0.0117 0.0122 0.0122 0.0114 0.0098
#> [40,] 0.1234 0.1554 0.1057 0.0490 0.0988 0.0097 0.0223 0.0121 0.0108 0.0057
#> V55 V56 V57 V58 V59 V6 V60 V7 V8 V9
#> [1,] 0.0131 0.0198 0.0025 0.0199 0.0255 0.1323 0.0180 0.1608 0.2145 0.0847
#> [2,] 0.0011 0.0045 0.0039 0.0022 0.0023 0.0778 0.0016 0.0931 0.0941 0.1711
#> [3,] 0.0036 0.0029 0.0013 0.0010 0.0032 0.0817 0.0047 0.1005 0.0124 0.1168
#> [4,] 0.0074 0.0118 0.0026 0.0092 0.0009 0.0102 0.0044 0.0182 0.0579 0.1122
#> [5,] 0.0052 0.0036 0.0026 0.0036 0.0006 0.0284 0.0035 0.0527 0.0575 0.1054
#> [6,] 0.0133 0.0040 0.0042 0.0030 0.0031 0.1039 0.0033 0.1016 0.1394 0.2592
#> [7,] 0.0035 0.0058 0.0011 0.0009 0.0033 0.0349 0.0026 0.0384 0.0446 0.1318
#> [8,] 0.0372 0.0101 0.0127 0.0288 0.0129 0.1680 0.0023 0.3016 0.3460 0.3314
#> [9,] 0.0128 0.0054 0.0011 0.0019 0.0023 0.1734 0.0062 0.1679 0.1119 0.0889
#> [10,] 0.0022 0.0124 0.0054 0.0021 0.0028 0.1513 0.0023 0.1316 0.1654 0.1864
#> [11,] 0.0062 0.0046 0.0045 0.0022 0.0005 0.1091 0.0031 0.1709 0.1684 0.1865
#> [12,] 0.0072 0.0007 0.0054 0.0035 0.0001 0.1057 0.0055 0.1024 0.1209 0.1241
#> [13,] 0.0030 0.0057 0.0090 0.0057 0.0068 0.0488 0.0024 0.1424 0.1972 0.1873
#> [14,] 0.0072 0.0095 0.0086 0.0085 0.0040 0.1260 0.0051 0.1015 0.1918 0.3362
#> [15,] 0.0065 0.0132 0.0108 0.0050 0.0085 0.0385 0.0044 0.0611 0.1117 0.1237
#> [16,] 0.0198 0.0074 0.0035 0.0100 0.0048 0.0472 0.0019 0.1056 0.1388 0.0598
#> [17,] 0.0120 0.0087 0.0061 0.0061 0.0030 0.1019 0.0078 0.1054 0.1070 0.2302
#> [18,] 0.0065 0.0067 0.0022 0.0079 0.0146 0.1428 0.0051 0.1773 0.2161 0.1630
#> [19,] 0.0114 0.0085 0.0101 0.0016 0.0028 0.1224 0.0014 0.1947 0.1661 0.1368
#> [20,] 0.0120 0.0129 0.0020 0.0109 0.0074 0.2431 0.0078 0.1777 0.2018 0.2611
#> [21,] 0.0103 0.0121 0.0042 0.0090 0.0070 0.0324 0.0099 0.0918 0.1070 0.1553
#> [22,] 0.0045 0.0079 0.0031 0.0063 0.0048 0.1250 0.0050 0.1296 0.1729 0.2794
#> [23,] 0.0026 0.0097 0.0098 0.0043 0.0071 0.0795 0.0108 0.0970 0.0872 0.0743
#> [24,] 0.0070 0.0138 0.0092 0.0143 0.0036 0.1710 0.0103 0.0731 0.1401 0.2083
#> [25,] 0.0034 0.0064 0.0037 0.0036 0.0012 0.0865 0.0037 0.1182 0.0999 0.1976
#> [26,] 0.0112 0.0102 0.0052 0.0024 0.0079 0.0735 0.0031 0.0938 0.1134 0.1228
#> [27,] 0.0013 0.0046 0.0037 0.0011 0.0034 0.0391 0.0033 0.0857 0.0915 0.0949
#> [28,] 0.0087 0.0044 0.0028 0.0019 0.0049 0.0613 0.0023 0.0612 0.0506 0.0989
#> [29,] 0.0013 0.0029 0.0020 0.0062 0.0026 0.1267 0.0052 0.1577 0.1927 0.2361
#> [30,] 0.0015 0.0053 0.0016 0.0042 0.0053 0.1482 0.0074 0.2054 0.1605 0.2532
#> [31,] 0.0051 0.0102 0.0041 0.0055 0.0050 0.0612 0.0087 0.0895 0.1107 0.0973
#> [32,] 0.0083 0.0020 0.0084 0.0108 0.0083 0.1444 0.0033 0.1487 0.1484 0.2442
#> [33,] 0.0164 0.0055 0.0078 0.0055 0.0091 0.1795 0.0067 0.1909 0.1692 0.1870
#> [34,] 0.0175 0.0249 0.0141 0.0073 0.0025 0.0226 0.0101 0.0771 0.2678 0.5664
#> [35,] 0.0159 0.0193 0.0032 0.0377 0.0126 0.1180 0.0156 0.1948 0.1607 0.3036
#> [36,] 0.0109 0.0035 0.0056 0.0105 0.0082 0.0443 0.0036 0.0684 0.0903 0.1739
#> [37,] 0.0121 0.0075 0.0056 0.0021 0.0043 0.0973 0.0017 0.0961 0.1323 0.2462
#> [38,] 0.0114 0.0050 0.0030 0.0064 0.0058 0.0682 0.0030 0.0993 0.0717 0.0576
#> [39,] 0.0027 0.0025 0.0026 0.0050 0.0073 0.0887 0.0022 0.0596 0.1071 0.3175
#> [40,] 0.0028 0.0079 0.0034 0.0046 0.0022 0.1425 0.0021 0.1463 0.1219 0.1697
#>
#> $post[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6] [,7]
#> [1,] 0.7725416 0.6030629 0.2095512 0.6975138 0.5146619 0.2854002 0.6147302
#> [2,] 0.9247933 0.8569864 0.4482294 0.8725187 0.7239183 0.6363475 0.8346999
#> [3,] 0.9153324 0.8334423 0.3611986 0.8616233 0.6573718 0.5577290 0.8200391
#> [4,] 0.8830588 0.8419637 0.4519615 0.8631817 0.6818899 0.6198558 0.7936207
#> [5,] 0.8537112 0.7972843 0.5188654 0.7817593 0.6961373 0.6004665 0.7528722
#> [6,] 0.8542014 0.7673200 0.2668840 0.8077884 0.6255606 0.4524007 0.6950847
#> [7,] 0.9014868 0.8242724 0.3690213 0.8512528 0.6552661 0.5451901 0.8010941
#> [8,] 0.8615709 0.8256246 0.2634735 0.8411506 0.5920025 0.5362359 0.7180362
#> [9,] 0.8751010 0.8410309 0.3939310 0.8449998 0.6324297 0.5719297 0.7680502
#> [10,] 0.9141244 0.8718517 0.3750226 0.8748567 0.6884315 0.6185828 0.7965596
#> [11,] 0.9061103 0.8539513 0.4176061 0.8517970 0.7051692 0.6431685 0.7841104
#> [12,] 0.8753679 0.8079827 0.4232021 0.8102786 0.6800238 0.5816517 0.7531997
#> [13,] 0.8682585 0.7928614 0.2930455 0.8044482 0.6053451 0.4808579 0.7425733
#> [14,] 0.8910153 0.8188386 0.3290967 0.8301399 0.6589604 0.5410854 0.7461784
#> [15,] 0.7619450 0.6349343 0.2970568 0.7207728 0.5809520 0.3817096 0.6200287
#> [16,] 0.8058175 0.7813565 0.2984023 0.8197517 0.5588912 0.4402028 0.6911026
#> [17,] 0.8873860 0.8464488 0.2922946 0.8655688 0.6301414 0.5336440 0.7742291
#> [18,] 0.8287979 0.7824507 0.2486687 0.8117623 0.5497056 0.4543561 0.6771919
#> [19,] 0.8621940 0.8020424 0.4309381 0.8002371 0.6780633 0.5524370 0.7419129
#> [20,] 0.8122903 0.6720494 0.1895548 0.7270791 0.5706262 0.3248105 0.6472863
#> [21,] 0.8388005 0.7865227 0.3750868 0.8026332 0.6337503 0.5471354 0.7154506
#> [22,] 0.8479653 0.6951514 0.2778919 0.7435256 0.6128659 0.4086766 0.7048863
#> [23,] 0.8640315 0.7678852 0.3923191 0.7755378 0.6585919 0.5033408 0.7558168
#> [24,] 0.8222993 0.7262086 0.2912556 0.7930877 0.5923261 0.4559708 0.6899941
#> [25,] 0.8813069 0.8047103 0.3699263 0.8214774 0.6595246 0.5294841 0.7614044
#> [26,] 0.9217811 0.8674269 0.3807901 0.8731474 0.7032619 0.6177168 0.8094557
#> [27,] 0.9072443 0.8451415 0.4539714 0.8507728 0.7154907 0.6338937 0.8019924
#> [28,] 0.8588873 0.8047642 0.5186022 0.7887622 0.6943123 0.6103589 0.7557397
#> [29,] 0.8891631 0.8618927 0.3492671 0.8747155 0.6651833 0.5919709 0.7852195
#> [30,] 0.8578221 0.8078950 0.4023103 0.8246939 0.6430175 0.5644024 0.7409182
#> [31,] 0.9017680 0.8377648 0.4449110 0.8405431 0.7053187 0.6103328 0.7951142
#> [32,] 0.8420172 0.7286714 0.2192596 0.8101830 0.5932579 0.3763100 0.6809808
#> [33,] 0.8962093 0.8569644 0.3489502 0.8697438 0.6429105 0.6001566 0.7739796
#> [34,] 0.6765450 0.6124855 0.1705153 0.7361751 0.4667422 0.2668753 0.5678848
#> [35,] 0.7286682 0.7431519 0.2711773 0.7813081 0.5265766 0.4310063 0.6301380
#> [36,] 0.9128054 0.8414742 0.4075783 0.8626898 0.7062562 0.6203515 0.7989884
#> [37,] 0.8422098 0.7331381 0.2453012 0.7718930 0.6105806 0.3968059 0.6668724
#> [38,] 0.9053855 0.8528204 0.4817507 0.8524101 0.7159264 0.6471416 0.8043599
#> [39,] 0.8526278 0.7910121 0.3279426 0.8296857 0.6329489 0.4815254 0.7423301
#> [40,] 0.8667521 0.8040520 0.3992396 0.8102592 0.6701091 0.5605830 0.7429763
#> [,8] [,9] [,10]
#> [1,] 0.3475622 0.5911324 0.1986308
#> [2,] 0.6324323 0.8203641 0.3954061
#> [3,] 0.5724121 0.7682506 0.3138257
#> [4,] 0.5700025 0.7772374 0.4102519
#> [5,] 0.5798228 0.7539258 0.4362562
#> [6,] 0.4381010 0.7012635 0.2519298
#> [7,] 0.5615428 0.7551589 0.3212568
#> [8,] 0.4002015 0.6904010 0.2709468
#> [9,] 0.5033636 0.7283183 0.3565165
#> [10,] 0.5363755 0.7784380 0.3477158
#> [11,] 0.5393174 0.7784565 0.3722644
#> [12,] 0.5539246 0.7540805 0.3673909
#> [13,] 0.4691519 0.6787245 0.2868497
#> [14,] 0.4912644 0.7316680 0.2960005
#> [15,] 0.4174994 0.6452572 0.2574818
#> [16,] 0.4322276 0.6445386 0.2920876
#> [17,] 0.4732201 0.7361942 0.3063401
#> [18,] 0.4007609 0.6288709 0.2537813
#> [19,] 0.5431508 0.7459711 0.3590998
#> [20,] 0.4027191 0.6522945 0.2068488
#> [21,] 0.4887151 0.7216171 0.3494956
#> [22,] 0.4931962 0.6947985 0.2476242
#> [23,] 0.5706163 0.7435620 0.3366405
#> [24,] 0.4438929 0.6694506 0.2782002
#> [25,] 0.5141166 0.7579345 0.3307687
#> [26,] 0.5620651 0.7905738 0.3473434
#> [27,] 0.5930206 0.7925890 0.3938539
#> [28,] 0.5835615 0.7528395 0.4331135
#> [29,] 0.5015682 0.7525178 0.3561249
#> [30,] 0.4970704 0.7183255 0.3522044
#> [31,] 0.5829571 0.7815382 0.3895758
#> [32,] 0.4182243 0.7149827 0.2175354
#> [33,] 0.4826431 0.7430771 0.3317020
#> [34,] 0.2932054 0.5273908 0.1653748
#> [35,] 0.3785425 0.5849730 0.2803861
#> [36,] 0.5806493 0.7896498 0.3572792
#> [37,] 0.4062197 0.6815326 0.2322681
#> [38,] 0.6010241 0.7896783 0.4199451
#> [39,] 0.4977377 0.7263759 0.3099552
#> [40,] 0.5363629 0.7435967 0.3530619
#>
#> $post[[3]]
#> [,1] [,2]
#> [1,] 0.6255992 0.3744008
#> [2,] 0.6368578 0.3631422
#> [3,] 0.6395671 0.3604329
#> [4,] 0.6332143 0.3667857
#> [5,] 0.6240715 0.3759285
#> [6,] 0.6382811 0.3617189
#> [7,] 0.6378829 0.3621171
#> [8,] 0.6407309 0.3592691
#> [9,] 0.6352373 0.3647627
#> [10,] 0.6409280 0.3590720
#> [11,] 0.6366917 0.3633083
#> [12,] 0.6318017 0.3681983
#> [13,] 0.6367296 0.3632704
#> [14,] 0.6389951 0.3610049
#> [15,] 0.6234809 0.3765191
#> [16,] 0.6340516 0.3659484
#> [17,] 0.6423412 0.3576588
#> [18,] 0.6370103 0.3629897
#> [19,] 0.6309329 0.3690671
#> [20,] 0.6333147 0.3666853
#> [21,] 0.6311004 0.3688996
#> [22,] 0.6315098 0.3684902
#> [23,] 0.6303400 0.3696600
#> [24,] 0.6318412 0.3681588
#> [25,] 0.6355706 0.3644294
#> [26,] 0.6409231 0.3590769
#> [27,] 0.6345160 0.3654840
#> [28,] 0.6247903 0.3752097
#> [29,] 0.6401198 0.3598802
#> [30,] 0.6322380 0.3677620
#> [31,] 0.6340732 0.3659268
#> [32,] 0.6392870 0.3607130
#> [33,] 0.6400116 0.3599884
#> [34,] 0.6257260 0.3742740
#> [35,] 0.6287032 0.3712968
#> [36,] 0.6375998 0.3624002
#> [37,] 0.6365074 0.3634926
#> [38,] 0.6330039 0.3669961
#> [39,] 0.6362014 0.3637986
#> [40,] 0.6326521 0.3673479
#>
#>
#> $pre
#> $pre[[1]]
#> NULL
#>
#> $pre[[2]]
#> [,1] [,2] [,3] [,4] [,5] [,6]
#> [1,] 1.2227186 0.4182438 -1.32763303 0.8354865 0.0586643 -0.91783008
#> [2,] 2.5093303 1.7904823 -0.20782707 1.9234144 0.9639818 0.55954614
#> [3,] 2.3805542 1.6102224 -0.57016573 1.8288388 0.6516040 0.23195030
#> [4,] 2.0217204 1.6729122 -0.19274844 1.8419711 0.7624704 0.48893638
#> [5,] 1.7640101 1.3694070 0.07549728 1.2759481 0.8289710 0.40740922
#> [6,] 1.7679411 1.1932397 -1.01048969 1.4357031 0.5132182 -0.19097553
#> [7,] 2.2138545 1.5455661 -0.53641782 1.7444607 0.6422688 0.18125485
#> [8,] 1.8283990 1.5549300 -1.02799248 1.6668145 0.3722497 0.14519824
#> [9,] 1.9468339 1.6659188 -0.43081823 1.6959097 0.5426547 0.28972878
#> [10,] 2.3650670 1.9174314 -0.51072904 1.9446005 0.7927966 0.48353715
#> [11,] 2.2670409 1.7659336 -0.33260829 1.7487654 0.8720359 0.58914314
#> [12,] 1.9492780 1.4369554 -0.30964198 1.4518218 0.7538810 0.32955749
#> [13,] 1.8856482 1.3422601 -0.88063861 1.4143315 0.4277870 -0.07660585
#> [14,] 2.1011541 1.5084990 -0.71227354 1.5866194 0.6586651 0.16471307
#> [15,] 1.1633729 0.5534442 -0.86135258 0.9482984 0.3266826 -0.48229813
#> [16,] 1.4230587 1.2735889 -0.85491739 1.5146660 0.2366633 -0.24033895
#> [17,] 2.0643139 1.7070158 -0.88426577 1.8623345 0.5328237 0.13477964
#> [18,] 1.5771314 1.2800052 -1.10572509 1.4615017 0.1994814 -0.18308528
#> [19,] 1.8336333 1.3991089 -0.27802485 1.3877767 0.7448855 0.21052217
#> [20,] 1.4649612 0.7174687 -1.45290560 0.9798535 0.2844064 -0.73175123
#> [21,] 1.6493299 1.3040913 -0.51045550 1.4028342 0.5483396 0.18910313
#> [22,] 1.7187310 0.8243144 -0.95494261 1.0643741 0.4593752 -0.36943901
#> [23,] 1.8491864 1.1964084 -0.43757446 1.2398493 0.6570254 0.01336358
#> [24,] 1.5320038 0.9754708 -0.88929374 1.3436387 0.3735896 -0.17657418
#> [25,] 2.0048651 1.4159983 -0.53253314 1.5263889 0.6611764 0.11807322
#> [26,] 2.4667969 1.8783970 -0.48619584 1.9290782 0.8628793 0.47986860
#> [27,] 2.2804422 1.6969925 -0.18463715 1.7406751 0.9222026 0.54895748
#> [28,] 1.8060789 1.4163411 0.07444335 1.3174801 0.8203581 0.44882114
#> [29,] 2.0822209 1.8310996 -0.62226232 1.9433111 0.6864796 0.37211917
#> [30,] 1.7973173 1.4363902 -0.39584802 1.5484789 0.5884851 0.25904839
#> [31,] 2.2170257 1.6416900 -0.22125402 1.6622749 0.8727555 0.44871151
#> [32,] 1.6733141 0.9878920 -1.26998600 1.4511997 0.3774500 -0.50524024
#> [33,] 2.1557977 1.7903030 -0.62365702 1.8986951 0.5880191 0.40611760
#> [34,] 0.7379388 0.4577720 -1.58197934 1.0261824 -0.1332281 -1.01053419
#> [35,] 0.9878763 1.0624154 -0.98865774 1.2733055 0.1064069 -0.27774681
#> [36,] 2.3483804 1.6692380 -0.37398574 1.8378126 0.8772703 0.49104045
#> [37,] 1.6747630 1.0106026 -1.12383169 1.2190312 0.4497534 -0.41879178
#> [38,] 2.2585505 1.7568957 -0.07302945 1.7536300 0.9243442 0.60649844
#> [39,] 1.7553621 1.3310370 -0.71750500 1.5834015 0.5448886 -0.07393214
#> [40,] 1.8725417 1.4118147 -0.40863428 1.4516953 0.7086784 0.24352855
#> [,7] [,8] [,9] [,10]
#> [1,] 0.4672397 -0.629772097 0.3686487 -1.3948740
#> [2,] 1.6193096 0.542665534 1.5188163 -0.4246436
#> [3,] 1.5166123 0.291699320 1.1984591 -0.7822942
#> [4,] 1.3468901 0.281861291 1.2496395 -0.3629241
#> [5,] 1.1139901 0.322045851 1.1196611 -0.2563704
#> [6,] 0.8239995 -0.248872555 0.8533220 -1.0883463
#> [7,] 1.3931467 0.247425828 1.1263186 -0.7480019
#> [8,] 0.9347411 -0.404625644 0.8019946 -0.9898242
#> [9,] 1.1973343 0.013454595 0.9861071 -0.5905159
#> [10,] 1.3649291 0.145759440 1.2565870 -0.6290951
#> [11,] 1.2897830 0.157594901 1.2566941 -0.5225147
#> [12,] 1.1157509 0.216540770 1.1204950 -0.5434263
#> [13,] 1.0593864 -0.123549501 0.7479162 -0.9107339
#> [14,] 1.0783330 -0.034946039 1.0031020 -0.8664165
#> [15,] 0.4896702 -0.333046915 0.5982559 -1.0590983
#> [16,] 0.8052791 -0.272768336 0.5951182 -0.8852665
#> [17,] 1.2323469 -0.107222389 1.0262805 -0.8172861
#> [18,] 0.7408968 -0.402295645 0.5273761 -1.0785459
#> [19,] 1.0559346 0.173033550 1.0772387 -0.5792735
#> [20,] 0.6071321 -0.394148414 0.6291403 -1.3440257
#> [21,] 0.9220057 -0.045147199 0.9524970 -0.6212570
#> [22,] 0.8706759 -0.027216824 0.8226497 -1.1113239
#> [23,] 1.1298804 0.284366186 1.0645650 -0.6783016
#> [24,] 0.8000918 -0.225377424 0.7057010 -0.9534070
#> [25,] 1.1603946 0.056481250 1.1413886 -0.7047102
#> [26,] 1.4464772 0.249547248 1.3283876 -0.6307373
#> [27,] 1.3987936 0.376466584 1.3406027 -0.4311409
#> [28,] 1.1294624 0.337411059 1.1138143 -0.2691595
#> [29,] 1.2963470 0.006272764 1.1120858 -0.5922234
#> [30,] 1.0507465 -0.011718626 0.9361708 -0.6093635
#> [31,] 1.3560327 0.334924338 1.2746528 -0.4490957
#> [32,] 0.7582830 -0.330067155 0.9197083 -1.2800870
#> [33,] 1.2309203 -0.069455329 1.0620240 -0.7004974
#> [34,] 0.2732262 -0.879866766 0.1096730 -1.6187681
#> [35,] 0.5328087 -0.495739236 0.3432222 -0.9425470
#> [36,] 1.3799839 0.325439349 1.3228155 -0.5871931
#> [37,] 0.6940733 -0.379615412 0.7608240 -1.1955483
#> [38,] 1.4137700 0.409733917 1.3229872 -0.3229988
#> [39,] 1.0581145 -0.009049240 0.9763124 -0.8003289
#> [40,] 1.0614961 0.145708735 1.0647470 -0.6056074
#>
#> $pre[[3]]
#> [,1] [,2]
#> [1,] 0.2161812 -0.2972018
#> [2,] 0.2094148 -0.3523370
#> [3,] 0.2200110 -0.3534746
#> [4,] 0.2044140 -0.3416173
#> [5,] 0.1917062 -0.3151598
#> [6,] 0.2326353 -0.3352760
#> [7,] 0.2179235 -0.3482634
#> [8,] 0.2373192 -0.3412186
#> [9,] 0.2156178 -0.3391337
#> [10,] 0.2266275 -0.3527667
#> [11,] 0.2201348 -0.3408990
#> [12,] 0.2095837 -0.3303702
#> [13,] 0.2269997 -0.3341978
#> [14,] 0.2304671 -0.3405383
#> [15,] 0.2053744 -0.2989752
#> [16,] 0.2179154 -0.3317227
#> [17,] 0.2319171 -0.3536232
#> [18,] 0.2310674 -0.3313438
#> [19,] 0.2087559 -0.3274651
#> [20,] 0.2278192 -0.3186444
#> [21,] 0.2106914 -0.3262491
#> [22,] 0.2177890 -0.3209102
#> [23,] 0.2057303 -0.3279454
#> [24,] 0.2173433 -0.3227805
#> [25,] 0.2175623 -0.3386278
#> [26,] 0.2253630 -0.3540099
#> [27,] 0.2102011 -0.3414390
#> [28,] 0.1929528 -0.3169783
#> [29,] 0.2254953 -0.3503890
#> [30,] 0.2126671 -0.3291628
#> [31,] 0.2102452 -0.3394859
#> [32,] 0.2310838 -0.3411870
#> [33,] 0.2276618 -0.3477528
#> [34,] 0.2149013 -0.2990233
#> [35,] 0.2129954 -0.3136623
#> [36,] 0.2176333 -0.3473285
#> [37,] 0.2335565 -0.3266804
#> [38,] 0.2057766 -0.3393487
#> [39,] 0.2182863 -0.3406286
#> [40,] 0.2123952 -0.3312163
#>
#>
#> $e
#> [,1] [,2]
#> [1,] -0.6255992 0.6255992
#> [2,] -0.6368578 0.6368578
#> [3,] 0.3604329 -0.3604329
#> [4,] -0.6332143 0.6332143
#> [5,] -0.6240715 0.6240715
#> [6,] 0.3617189 -0.3617189
#> [7,] 0.3621171 -0.3621171
#> [8,] 0.3592691 -0.3592691
#> [9,] -0.6352373 0.6352373
#> [10,] 0.3590720 -0.3590720
#> [11,] 0.3633083 -0.3633083
#> [12,] 0.3681983 -0.3681983
#> [13,] -0.6367296 0.6367296
#> [14,] 0.3610049 -0.3610049
#> [15,] 0.3765191 -0.3765191
#> [16,] 0.3659484 -0.3659484
#> [17,] -0.6423412 0.6423412
#> [18,] 0.3629897 -0.3629897
#> [19,] -0.6309329 0.6309329
#> [20,] 0.3666853 -0.3666853
#> [21,] 0.3688996 -0.3688996
#> [22,] 0.3684902 -0.3684902
#> [23,] -0.6303400 0.6303400
#> [24,] -0.6318412 0.6318412
#> [25,] 0.3644294 -0.3644294
#> [26,] 0.3590769 -0.3590769
#> [27,] -0.6345160 0.6345160
#> [28,] -0.6247903 0.6247903
#> [29,] 0.3598802 -0.3598802
#> [30,] 0.3677620 -0.3677620
#> [31,] -0.6340732 0.6340732
#> [32,] 0.3607130 -0.3607130
#> [33,] 0.3599884 -0.3599884
#> [34,] 0.3742740 -0.3742740
#> [35,] 0.3712968 -0.3712968
#> [36,] 0.3624002 -0.3624002
#> [37,] 0.3634926 -0.3634926
#> [38,] -0.6330039 0.6330039
#> [39,] 0.3637986 -0.3637986
#> [40,] 0.3673479 -0.3673479
#>
#> $L
#> [1] 0.6950252 0.6452908 0.9885702 0.6868536 0.7787303 0.6450668
#>
# Make predictions for the test rows
predictions = learner$predict(task, row_ids = ids$test)
# Score the predictions
predictions$score()
#> classif.ce
#> 0.5507246