##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.20-bioc/R/site-library --timings HPiP_1.11.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck’
* using R version 4.4.1 (2024-06-14)
* using platform: x86_64-pc-linux-gnu
* R was compiled by
    gcc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
    GNU Fortran (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0
* running under: Ubuntu 22.04.4 LTS
* using session charset: UTF-8
* checking for file ‘HPiP/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘HPiP’ version ‘1.11.0’
* package encoding: UTF-8
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘HPiP’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
License stub is invalid DCF.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking code files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking loading without being on the library search path ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... OK
* checking Rd files ... NOTE
checkRd: (-1) getHPI.Rd:29: Lost braces
    29 | then the Kronecker product is the code{(pm × qn)} block matrix
       |                                       ^
* checking Rd metadata ... OK
* checking Rd cross-references ... NOTE
Package unavailable to check Rd xrefs: ‘ftrCOOL’
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking R/sysdata.rda ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... OK
Examples with CPU (user + system) or elapsed time > 5s
                user system elapsed
var_imp       36.110  0.904  37.015
FSmethod      34.808  0.583  35.393
corr_plot     34.761  0.439  35.202
pred_ensembel 13.496  0.592  10.869
enrichfindP    0.491  0.060   9.361
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
  Running ‘runTests.R’
 OK
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes ... OK
* checking re-building of vignette outputs ... OK
* checking PDF version of manual ... OK
* DONE

Status: 3 NOTEs
See
  ‘/home/biocbuild/bbs-3.20-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.20-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.20-bioc/R/site-library’
* installing *source* package ‘HPiP’ ...
** using staged installation
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (HPiP)

R version 4.4.1 (2024-06-14) -- "Race for Your Life"
Copyright (C) 2024 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> BiocGenerics:::testPackage('HPiP')
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
No results to show
Please make sure that the organism is correct or set significant = FALSE
avNNet
Loading required package: ggplot2
Loading required package: lattice
Fitting Repeat 1 

# weights:  103
initial  value 95.506954 
iter  10 value 86.509060
final  value 86.503249 
converged
Fitting Repeat 2 

# weights:  103
initial  value 110.945307 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.573938 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.009107 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.040021 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  305
initial  value 120.103590 
iter  10 value 93.567525
iter  10 value 93.567525
iter  10 value 93.567525
final  value 93.567525 
converged
Fitting Repeat 2 

# weights:  305
initial  value 95.064348 
iter  10 value 94.072944
final  value 93.567525 
converged
Fitting Repeat 3 

# weights:  305
initial  value 110.970470 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 109.244987 
iter  10 value 94.479530
iter  20 value 86.652815
iter  30 value 86.126147
final  value 86.125918 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.219095 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.530394 
iter  10 value 94.275399
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  507
initial  value 107.716964 
iter  10 value 93.244323
iter  20 value 93.199245
final  value 93.198847 
converged
Fitting Repeat 3 

# weights:  507
initial  value 132.144989 
iter  10 value 94.275362
iter  10 value 94.275362
iter  10 value 94.275362
final  value 94.275362 
converged
Fitting Repeat 4 

# weights:  507
initial  value 97.279429 
iter  10 value 89.222658
iter  20 value 85.910666
iter  30 value 85.885725
final  value 85.885558 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.474805 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.981918 
iter  10 value 94.552037
iter  20 value 94.492604
iter  30 value 94.486438
iter  40 value 94.123521
iter  50 value 93.906911
iter  60 value 85.932586
iter  70 value 85.600753
iter  80 value 85.457751
iter  90 value 85.137205
iter 100 value 84.071511
final  value 84.071511 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 104.946088 
iter  10 value 93.628892
iter  20 value 88.242315
iter  30 value 86.074832
iter  40 value 84.419066
iter  50 value 84.316476
iter  60 value 82.841858
iter  70 value 82.537597
iter  80 value 82.519564
iter  90 value 82.480861
iter 100 value 82.348394
final  value 82.348394 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.956233 
iter  10 value 94.484158
iter  20 value 94.129992
iter  30 value 94.115154
iter  40 value 94.111706
iter  50 value 93.088635
iter  60 value 85.897807
iter  70 value 85.305237
iter  80 value 84.974378
iter  90 value 84.631057
iter 100 value 84.151948
final  value 84.151948 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 102.574360 
iter  10 value 94.334036
iter  20 value 90.365211
iter  30 value 88.548525
iter  40 value 88.006693
iter  50 value 84.481065
iter  60 value 83.755902
iter  70 value 83.479893
iter  80 value 82.786833
iter  90 value 82.432318
iter 100 value 82.336216
final  value 82.336216 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 118.265414 
iter  10 value 94.486565
iter  20 value 94.401558
iter  30 value 93.368717
iter  40 value 84.813370
iter  50 value 84.261217
iter  60 value 83.883686
iter  70 value 83.097755
iter  80 value 82.712590
final  value 82.706822 
converged
Fitting Repeat 1 

# weights:  305
initial  value 116.823353 
iter  10 value 94.511947
iter  20 value 88.500426
iter  30 value 85.522512
iter  40 value 85.247624
iter  50 value 83.529977
iter  60 value 82.752983
iter  70 value 81.102437
iter  80 value 80.917273
iter  90 value 80.757941
iter 100 value 80.579208
final  value 80.579208 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 99.142656 
iter  10 value 91.951095
iter  20 value 87.210587
iter  30 value 85.590447
iter  40 value 85.013144
iter  50 value 84.440862
iter  60 value 83.454839
iter  70 value 82.462731
iter  80 value 82.315733
iter  90 value 81.628429
iter 100 value 81.469175
final  value 81.469175 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.687893 
iter  10 value 94.488786
iter  20 value 84.530307
iter  30 value 83.512136
iter  40 value 83.132668
iter  50 value 82.906722
iter  60 value 82.002057
iter  70 value 81.820511
iter  80 value 81.681021
iter  90 value 81.624884
iter 100 value 81.594309
final  value 81.594309 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 112.801527 
iter  10 value 94.380105
iter  20 value 86.917664
iter  30 value 84.970873
iter  40 value 82.974550
iter  50 value 82.757045
iter  60 value 82.508019
iter  70 value 82.479690
iter  80 value 82.115500
iter  90 value 81.383883
iter 100 value 81.232210
final  value 81.232210 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 102.758218 
iter  10 value 94.438993
iter  20 value 90.811718
iter  30 value 88.951203
iter  40 value 86.032203
iter  50 value 84.020427
iter  60 value 83.437915
iter  70 value 82.902867
iter  80 value 81.694685
iter  90 value 81.162280
iter 100 value 81.061338
final  value 81.061338 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 144.568550 
iter  10 value 96.567812
iter  20 value 92.885808
iter  30 value 85.883861
iter  40 value 85.224417
iter  50 value 84.499259
iter  60 value 83.683251
iter  70 value 82.668521
iter  80 value 82.478603
iter  90 value 82.440808
iter 100 value 82.167184
final  value 82.167184 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 103.276219 
iter  10 value 92.985130
iter  20 value 86.015094
iter  30 value 84.334924
iter  40 value 84.076076
iter  50 value 82.250463
iter  60 value 81.688493
iter  70 value 81.228070
iter  80 value 80.998659
iter  90 value 80.813472
iter 100 value 80.736493
final  value 80.736493 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 112.011537 
iter  10 value 94.694084
iter  20 value 90.532064
iter  30 value 83.836577
iter  40 value 81.604339
iter  50 value 81.343674
iter  60 value 81.261382
iter  70 value 81.203765
iter  80 value 81.136709
iter  90 value 80.900443
iter 100 value 80.805433
final  value 80.805433 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 106.783930 
iter  10 value 94.768808
iter  20 value 91.900826
iter  30 value 88.660676
iter  40 value 84.078070
iter  50 value 83.877364
iter  60 value 83.574576
iter  70 value 82.978059
iter  80 value 82.892556
iter  90 value 82.356053
iter 100 value 81.531300
final  value 81.531300 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 114.256775 
iter  10 value 93.954675
iter  20 value 83.184877
iter  30 value 82.370337
iter  40 value 82.063109
iter  50 value 82.004346
iter  60 value 81.731572
iter  70 value 81.070867
iter  80 value 80.643372
iter  90 value 80.525678
iter 100 value 80.445626
final  value 80.445626 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 113.621614 
final  value 94.485764 
converged
Fitting Repeat 2 

# weights:  103
initial  value 107.231142 
final  value 94.485714 
converged
Fitting Repeat 3 

# weights:  103
initial  value 94.537874 
final  value 94.486064 
converged
Fitting Repeat 4 

# weights:  103
initial  value 108.828744 
iter  10 value 94.485950
iter  20 value 94.484246
final  value 94.484231 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.478195 
final  value 94.485835 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.335043 
iter  10 value 94.489610
iter  20 value 94.467163
iter  30 value 92.742899
iter  40 value 91.778314
final  value 91.777920 
converged
Fitting Repeat 2 

# weights:  305
initial  value 124.070782 
iter  10 value 94.280596
iter  20 value 94.276830
iter  30 value 94.168983
iter  40 value 84.694715
iter  50 value 84.632694
iter  60 value 84.627845
final  value 84.627567 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.277217 
iter  10 value 94.488616
iter  20 value 94.484263
iter  30 value 94.055257
iter  40 value 91.328214
iter  50 value 85.957575
iter  60 value 82.505365
iter  70 value 81.816714
iter  80 value 81.766053
final  value 81.765950 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.552022 
iter  10 value 94.297443
iter  20 value 94.280513
iter  30 value 94.048702
iter  40 value 83.099390
final  value 82.884922 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.336060 
iter  10 value 94.057788
iter  20 value 94.055059
iter  30 value 87.507218
iter  40 value 86.508777
iter  50 value 86.351937
iter  60 value 86.350364
iter  70 value 85.120907
iter  80 value 82.793219
iter  90 value 82.743092
iter 100 value 82.543508
final  value 82.543508 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.259576 
iter  10 value 92.604789
iter  20 value 92.285672
iter  30 value 92.271309
iter  40 value 92.071136
iter  50 value 92.056505
iter  60 value 88.738951
iter  70 value 85.695562
iter  80 value 85.600993
iter  90 value 85.595889
iter 100 value 85.591778
final  value 85.591778 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 101.160876 
iter  10 value 94.283460
iter  20 value 94.278598
iter  30 value 94.277465
iter  40 value 94.047028
iter  50 value 86.531673
iter  60 value 84.545068
iter  70 value 83.536162
iter  80 value 81.899824
iter  90 value 81.338776
iter 100 value 81.055309
final  value 81.055309 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 95.234629 
iter  10 value 94.283604
iter  20 value 94.277300
iter  30 value 91.424114
iter  40 value 84.503976
iter  50 value 83.074810
iter  60 value 82.890732
iter  70 value 82.886510
final  value 82.886502 
converged
Fitting Repeat 4 

# weights:  507
initial  value 113.233963 
iter  10 value 91.346948
iter  20 value 90.706750
iter  30 value 90.604473
iter  40 value 90.515071
iter  50 value 90.512749
iter  60 value 90.498819
iter  70 value 90.379683
final  value 90.379456 
converged
Fitting Repeat 5 

# weights:  507
initial  value 98.448790 
iter  10 value 94.492567
iter  20 value 94.484759
iter  30 value 94.279445
final  value 94.275541 
converged
Fitting Repeat 1 

# weights:  103
initial  value 95.047663 
final  value 94.112573 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.470742 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 108.927084 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.592380 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.221868 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.724251 
final  value 94.484209 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.063557 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.047606 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.858493 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.431585 
final  value 94.466823 
converged
Fitting Repeat 1 

# weights:  507
initial  value 104.117278 
final  value 94.288300 
converged
Fitting Repeat 2 

# weights:  507
initial  value 108.719836 
final  value 94.466823 
converged
Fitting Repeat 3 

# weights:  507
initial  value 101.163654 
final  value 94.461538 
converged
Fitting Repeat 4 

# weights:  507
initial  value 103.952491 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 97.437733 
iter  10 value 94.250353
iter  20 value 94.247471
final  value 94.247465 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.892647 
iter  10 value 94.472846
iter  20 value 94.110104
iter  30 value 87.786165
iter  40 value 86.409779
iter  50 value 85.775281
iter  60 value 85.043110
iter  70 value 85.017959
iter  80 value 84.997477
final  value 84.989804 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.769295 
iter  10 value 94.491263
iter  20 value 92.542354
iter  30 value 87.671748
iter  40 value 86.915905
iter  50 value 86.665108
iter  60 value 85.668270
iter  70 value 85.020368
final  value 85.017824 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.646810 
iter  10 value 94.489527
iter  20 value 94.243941
iter  30 value 94.154893
iter  40 value 94.112704
iter  50 value 93.709869
iter  60 value 88.462150
iter  70 value 87.512513
iter  80 value 84.512158
iter  90 value 83.002586
iter 100 value 82.333051
final  value 82.333051 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 104.085811 
iter  10 value 94.470540
iter  20 value 89.680434
iter  30 value 86.616850
iter  40 value 84.885609
iter  50 value 84.217377
iter  60 value 83.822267
iter  70 value 82.628510
iter  80 value 82.113745
iter  90 value 82.015362
iter 100 value 81.810554
final  value 81.810554 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 97.211551 
iter  10 value 94.212421
iter  20 value 86.749539
iter  30 value 86.487459
iter  40 value 85.991721
iter  50 value 85.560908
iter  60 value 85.193966
iter  70 value 85.101202
final  value 85.099808 
converged
Fitting Repeat 1 

# weights:  305
initial  value 124.758545 
iter  10 value 94.527990
iter  20 value 94.216445
iter  30 value 90.915766
iter  40 value 87.934585
iter  50 value 85.651776
iter  60 value 84.135166
iter  70 value 83.190354
iter  80 value 82.390009
iter  90 value 81.310689
iter 100 value 80.834308
final  value 80.834308 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 116.795768 
iter  10 value 94.644346
iter  20 value 87.472579
iter  30 value 85.967733
iter  40 value 85.482479
iter  50 value 85.379609
iter  60 value 84.770065
iter  70 value 83.444288
iter  80 value 82.918290
iter  90 value 82.198034
iter 100 value 82.023667
final  value 82.023667 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.202012 
iter  10 value 94.686900
iter  20 value 87.683271
iter  30 value 85.485678
iter  40 value 84.636270
iter  50 value 84.300378
iter  60 value 83.108197
iter  70 value 82.481056
iter  80 value 81.406005
iter  90 value 81.030380
iter 100 value 80.899536
final  value 80.899536 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 104.115220 
iter  10 value 94.361203
iter  20 value 89.025684
iter  30 value 86.315300
iter  40 value 86.202478
iter  50 value 86.017166
iter  60 value 84.614372
iter  70 value 84.304524
iter  80 value 84.126772
iter  90 value 83.843728
iter 100 value 83.622403
final  value 83.622403 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 144.908656 
iter  10 value 94.508349
iter  20 value 93.773766
iter  30 value 90.230717
iter  40 value 87.984391
iter  50 value 85.202143
iter  60 value 82.649446
iter  70 value 82.017000
iter  80 value 80.745209
iter  90 value 80.433423
iter 100 value 80.240850
final  value 80.240850 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 116.545674 
iter  10 value 94.694678
iter  20 value 88.676374
iter  30 value 87.850453
iter  40 value 83.705162
iter  50 value 82.011955
iter  60 value 81.519587
iter  70 value 81.236474
iter  80 value 80.959128
iter  90 value 80.530063
iter 100 value 80.440587
final  value 80.440587 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 105.050919 
iter  10 value 94.495936
iter  20 value 91.196273
iter  30 value 87.994370
iter  40 value 83.071831
iter  50 value 81.925693
iter  60 value 81.281605
iter  70 value 80.982662
iter  80 value 80.655233
iter  90 value 80.258558
iter 100 value 80.048924
final  value 80.048924 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 111.607538 
iter  10 value 94.443370
iter  20 value 88.370299
iter  30 value 87.533154
iter  40 value 86.967922
iter  50 value 86.007366
iter  60 value 82.868475
iter  70 value 81.153202
iter  80 value 80.576545
iter  90 value 80.419449
iter 100 value 80.190133
final  value 80.190133 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 120.668687 
iter  10 value 94.794626
iter  20 value 93.167308
iter  30 value 85.984805
iter  40 value 84.198195
iter  50 value 83.744680
iter  60 value 82.719254
iter  70 value 81.418056
iter  80 value 80.671385
iter  90 value 80.608094
iter 100 value 80.480407
final  value 80.480407 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.427709 
iter  10 value 94.618550
iter  20 value 94.531995
iter  30 value 92.329384
iter  40 value 84.377218
iter  50 value 83.374006
iter  60 value 82.535863
iter  70 value 82.212248
iter  80 value 82.146214
iter  90 value 81.846469
iter 100 value 81.750831
final  value 81.750831 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 95.377188 
iter  10 value 94.485847
iter  20 value 94.446131
iter  30 value 94.113022
final  value 94.112694 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.747320 
final  value 94.485610 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.297515 
final  value 94.485817 
converged
Fitting Repeat 4 

# weights:  103
initial  value 108.024276 
final  value 94.486064 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.956071 
final  value 94.485594 
converged
Fitting Repeat 1 

# weights:  305
initial  value 100.018984 
iter  10 value 88.488630
iter  20 value 87.618054
iter  30 value 87.305963
iter  40 value 85.785565
iter  50 value 85.285816
iter  60 value 85.283045
iter  70 value 85.262798
final  value 85.260742 
converged
Fitting Repeat 2 

# weights:  305
initial  value 108.561406 
iter  10 value 94.487633
iter  20 value 91.762758
iter  30 value 87.490641
iter  40 value 87.444527
final  value 87.444255 
converged
Fitting Repeat 3 

# weights:  305
initial  value 100.852448 
iter  10 value 94.316763
iter  20 value 94.312356
final  value 94.312157 
converged
Fitting Repeat 4 

# weights:  305
initial  value 103.667767 
iter  10 value 94.488737
iter  20 value 94.449331
iter  30 value 94.101560
iter  40 value 93.521713
iter  50 value 93.290157
iter  60 value 93.051806
iter  70 value 86.089318
iter  80 value 86.023196
final  value 86.023112 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.931473 
iter  10 value 94.471729
iter  20 value 94.107485
iter  30 value 84.441930
iter  40 value 84.095621
iter  50 value 82.002387
iter  60 value 81.257317
iter  70 value 81.256795
iter  80 value 81.255576
iter  90 value 81.255201
iter 100 value 81.255026
final  value 81.255026 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 103.260183 
iter  10 value 94.491817
iter  20 value 94.235645
iter  30 value 89.953135
iter  40 value 83.888526
iter  50 value 83.154848
iter  60 value 83.096048
iter  70 value 83.063592
iter  80 value 83.063074
iter  90 value 83.061435
iter 100 value 82.739067
final  value 82.739067 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 113.059740 
iter  10 value 89.376714
iter  20 value 88.663243
final  value 88.661899 
converged
Fitting Repeat 3 

# weights:  507
initial  value 106.977644 
iter  10 value 94.092829
iter  20 value 94.087066
iter  30 value 90.374978
iter  40 value 88.079449
final  value 88.079223 
converged
Fitting Repeat 4 

# weights:  507
initial  value 101.628099 
iter  10 value 94.491496
iter  20 value 94.483809
iter  30 value 87.920135
iter  40 value 86.309278
iter  50 value 85.910750
iter  60 value 85.909373
iter  60 value 85.909373
iter  60 value 85.909373
final  value 85.909373 
converged
Fitting Repeat 5 

# weights:  507
initial  value 106.477748 
iter  10 value 94.492075
iter  20 value 94.435997
iter  30 value 92.361623
iter  40 value 92.302378
iter  50 value 91.682455
iter  60 value 86.090319
iter  70 value 84.843983
iter  80 value 84.796007
iter  90 value 84.793046
iter 100 value 84.768164
final  value 84.768164 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 107.328821 
iter  10 value 94.275684
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  103
initial  value 109.139898 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 99.968087 
final  value 94.484210 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.228714 
final  value 94.484206 
converged
Fitting Repeat 5 

# weights:  103
initial  value 102.580686 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 114.543602 
final  value 94.275362 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.457345 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 94.898868 
final  value 94.275362 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.717690 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 95.263662 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.187141 
final  value 93.701657 
converged
Fitting Repeat 2 

# weights:  507
initial  value 94.863934 
iter  10 value 94.303206
final  value 94.291317 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.874493 
final  value 94.275362 
converged
Fitting Repeat 4 

# weights:  507
initial  value 108.593935 
iter  10 value 92.492049
iter  20 value 84.057347
iter  30 value 81.890941
iter  40 value 81.876159
final  value 81.876079 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.738163 
final  value 94.275362 
converged
Fitting Repeat 1 

# weights:  103
initial  value 113.881910 
iter  10 value 94.813964
iter  20 value 94.489415
iter  30 value 94.383242
iter  40 value 94.046279
iter  50 value 91.006128
iter  60 value 84.126988
iter  70 value 83.870963
iter  80 value 82.770595
iter  90 value 82.555015
final  value 82.554643 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.714603 
iter  10 value 94.327196
iter  20 value 87.609522
iter  30 value 84.799505
iter  40 value 83.924290
iter  50 value 82.879918
iter  60 value 82.068453
iter  70 value 82.063841
iter  80 value 82.048073
final  value 82.046844 
converged
Fitting Repeat 3 

# weights:  103
initial  value 102.961611 
iter  10 value 92.076141
iter  20 value 82.482241
iter  30 value 82.110626
iter  40 value 82.073464
final  value 82.072339 
converged
Fitting Repeat 4 

# weights:  103
initial  value 106.566476 
iter  10 value 94.498722
iter  20 value 92.034273
iter  30 value 90.995628
iter  40 value 90.732139
iter  50 value 85.531174
iter  60 value 82.771866
iter  70 value 82.483179
iter  80 value 82.157681
iter  90 value 82.062284
iter 100 value 82.047492
final  value 82.047492 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 103.680359 
iter  10 value 94.447875
iter  20 value 90.520278
iter  30 value 87.262357
iter  40 value 85.602198
iter  50 value 82.178743
iter  60 value 82.087245
iter  70 value 82.072369
final  value 82.072339 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.859401 
iter  10 value 94.591359
iter  20 value 92.657571
iter  30 value 87.154208
iter  40 value 86.897487
iter  50 value 85.169024
iter  60 value 82.355911
iter  70 value 81.458543
iter  80 value 80.669874
iter  90 value 78.109931
iter 100 value 77.794873
final  value 77.794873 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 113.865669 
iter  10 value 93.584317
iter  20 value 87.637520
iter  30 value 85.742549
iter  40 value 82.491292
iter  50 value 81.115571
iter  60 value 80.394485
iter  70 value 80.265923
iter  80 value 79.981190
iter  90 value 79.694992
iter 100 value 79.677813
final  value 79.677813 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 107.908936 
iter  10 value 94.615178
iter  20 value 94.326997
iter  30 value 94.223759
iter  40 value 91.151724
iter  50 value 81.560772
iter  60 value 80.800309
iter  70 value 80.143497
iter  80 value 79.468304
iter  90 value 77.832473
iter 100 value 77.165292
final  value 77.165292 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 103.333389 
iter  10 value 94.985755
iter  20 value 89.510011
iter  30 value 83.330498
iter  40 value 82.780624
iter  50 value 81.701062
iter  60 value 80.254024
iter  70 value 79.865224
iter  80 value 79.268187
iter  90 value 78.335960
iter 100 value 77.923641
final  value 77.923641 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 110.861676 
iter  10 value 94.544417
iter  20 value 93.336215
iter  30 value 85.587093
iter  40 value 82.808384
iter  50 value 81.231160
iter  60 value 79.788136
iter  70 value 79.575944
iter  80 value 78.859223
iter  90 value 77.635298
iter 100 value 77.495478
final  value 77.495478 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.522972 
iter  10 value 94.491585
iter  20 value 86.617119
iter  30 value 84.206093
iter  40 value 83.792829
iter  50 value 82.789589
iter  60 value 81.453655
iter  70 value 79.541351
iter  80 value 78.806272
iter  90 value 78.096770
iter 100 value 77.555734
final  value 77.555734 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 104.147315 
iter  10 value 92.574665
iter  20 value 83.758914
iter  30 value 82.817872
iter  40 value 82.427853
iter  50 value 81.891866
iter  60 value 80.210064
iter  70 value 79.509839
iter  80 value 78.609356
iter  90 value 78.139722
iter 100 value 77.494995
final  value 77.494995 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 131.274838 
iter  10 value 93.743441
iter  20 value 84.220534
iter  30 value 82.197443
iter  40 value 81.273703
iter  50 value 79.826961
iter  60 value 79.144010
iter  70 value 78.958403
iter  80 value 78.838605
iter  90 value 78.420802
iter 100 value 77.620057
final  value 77.620057 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 127.642383 
iter  10 value 95.054802
iter  20 value 92.604751
iter  30 value 90.587948
iter  40 value 81.354763
iter  50 value 79.952650
iter  60 value 79.426971
iter  70 value 78.828108
iter  80 value 78.355711
iter  90 value 78.309755
iter 100 value 78.051113
final  value 78.051113 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 108.752684 
iter  10 value 94.373166
iter  20 value 84.953409
iter  30 value 82.427114
iter  40 value 81.929421
iter  50 value 80.709688
iter  60 value 79.796252
iter  70 value 78.803990
iter  80 value 78.014724
iter  90 value 77.970168
iter 100 value 77.819459
final  value 77.819459 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 103.458978 
iter  10 value 94.485870
iter  20 value 94.444391
final  value 94.275485 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.027690 
final  value 94.486955 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.796543 
iter  10 value 94.485744
iter  20 value 92.397006
iter  30 value 89.921229
iter  40 value 89.902859
iter  50 value 89.901618
final  value 89.901582 
converged
Fitting Repeat 4 

# weights:  103
initial  value 96.555515 
final  value 94.486122 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.388883 
iter  10 value 94.277019
iter  20 value 94.276639
iter  30 value 94.275613
final  value 94.275540 
converged
Fitting Repeat 1 

# weights:  305
initial  value 98.508224 
iter  10 value 94.485077
final  value 94.484215 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.351679 
iter  10 value 94.489236
iter  20 value 94.449684
iter  30 value 93.765718
iter  40 value 88.021659
iter  50 value 86.475553
iter  60 value 86.447374
iter  70 value 86.186205
iter  80 value 86.078479
final  value 86.077921 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.018871 
iter  10 value 94.488469
iter  20 value 93.943100
iter  30 value 91.074819
final  value 91.074761 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.607908 
iter  10 value 94.488244
iter  20 value 94.468874
iter  30 value 92.095692
iter  40 value 81.949583
iter  50 value 81.330356
iter  60 value 81.251942
iter  70 value 81.164641
iter  80 value 80.506201
iter  90 value 77.829128
iter 100 value 76.290780
final  value 76.290780 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 99.155439 
iter  10 value 94.489281
iter  20 value 92.743546
iter  30 value 82.626749
final  value 82.626098 
converged
Fitting Repeat 1 

# weights:  507
initial  value 96.848971 
iter  10 value 83.636523
iter  20 value 81.129078
iter  30 value 79.459617
iter  40 value 79.419281
iter  50 value 79.418161
iter  60 value 79.258600
iter  70 value 79.029249
iter  80 value 79.026029
iter  90 value 78.989880
iter 100 value 78.966551
final  value 78.966551 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 104.592020 
iter  10 value 93.296668
iter  20 value 91.031400
iter  30 value 90.967603
iter  40 value 90.965982
iter  50 value 89.795386
iter  60 value 89.716736
iter  70 value 89.561800
iter  80 value 86.109521
iter  90 value 84.183383
iter 100 value 83.467532
final  value 83.467532 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 103.163281 
iter  10 value 94.492498
iter  20 value 89.021609
iter  30 value 86.657645
iter  40 value 86.632764
iter  50 value 86.631350
iter  60 value 86.627194
iter  70 value 86.622631
iter  80 value 86.532408
iter  90 value 86.532024
iter 100 value 86.529595
final  value 86.529595 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 105.621558 
iter  10 value 94.492053
iter  20 value 94.365311
iter  30 value 82.883433
iter  40 value 82.812784
iter  50 value 82.812610
iter  60 value 82.810397
iter  70 value 82.597708
iter  80 value 82.565961
iter  90 value 82.565891
iter 100 value 82.565349
final  value 82.565349 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 102.048056 
iter  10 value 93.712502
iter  20 value 93.710053
iter  30 value 93.702462
iter  40 value 86.147883
iter  50 value 81.127699
iter  60 value 80.757086
iter  70 value 80.657007
iter  80 value 78.937649
iter  90 value 77.621641
iter 100 value 77.583282
final  value 77.583282 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.976888 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.206515 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.113167 
final  value 93.915746 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.150836 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.867461 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 113.408813 
iter  10 value 94.052910
iter  10 value 94.052910
iter  10 value 94.052910
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 101.840314 
final  value 93.915746 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.661609 
final  value 93.864628 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.607265 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 108.140309 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 110.687011 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.604061 
iter  10 value 94.003336
iter  20 value 93.915766
final  value 93.915747 
converged
Fitting Repeat 3 

# weights:  507
initial  value 99.578687 
iter  10 value 93.853426
iter  20 value 85.481340
iter  30 value 84.778334
iter  40 value 84.775216
final  value 84.775168 
converged
Fitting Repeat 4 

# weights:  507
initial  value 98.992538 
iter  10 value 93.618151
iter  20 value 93.410404
iter  30 value 91.446569
iter  40 value 91.424898
iter  50 value 91.422457
iter  60 value 91.116061
iter  70 value 90.705044
iter  80 value 90.703523
final  value 90.703512 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.406367 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 101.806576 
iter  10 value 94.060076
iter  20 value 93.948250
iter  30 value 93.944755
iter  40 value 93.573794
iter  50 value 90.079084
iter  60 value 88.297268
iter  70 value 86.147812
iter  80 value 83.861271
iter  90 value 83.471383
iter 100 value 83.281670
final  value 83.281670 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 100.136235 
iter  10 value 94.056667
iter  20 value 93.971912
iter  30 value 91.872176
iter  40 value 88.654119
iter  50 value 87.845390
iter  60 value 87.706676
iter  70 value 86.909741
iter  80 value 83.964753
iter  90 value 83.657124
iter 100 value 83.437289
final  value 83.437289 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 103.623384 
iter  10 value 94.014323
iter  20 value 93.661958
iter  30 value 92.139059
iter  40 value 89.372147
iter  50 value 86.544537
iter  60 value 86.037263
iter  70 value 85.749424
iter  80 value 83.659756
iter  90 value 83.356848
iter 100 value 83.251305
final  value 83.251305 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 108.004475 
iter  10 value 94.040516
iter  20 value 93.757546
iter  30 value 88.802056
iter  40 value 87.584983
iter  50 value 85.457929
iter  60 value 85.346791
iter  70 value 85.306043
iter  80 value 85.290916
iter  90 value 85.236723
iter 100 value 85.191747
final  value 85.191747 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 102.632937 
iter  10 value 94.052333
iter  20 value 92.702129
iter  30 value 90.376057
iter  40 value 88.177261
iter  50 value 87.567549
iter  60 value 86.857148
iter  70 value 85.427053
iter  80 value 85.089272
iter  90 value 84.924469
iter 100 value 84.896541
final  value 84.896541 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 100.975420 
iter  10 value 94.238322
iter  20 value 93.949646
iter  30 value 89.435371
iter  40 value 84.502457
iter  50 value 83.809891
iter  60 value 83.165080
iter  70 value 83.001677
iter  80 value 82.970490
iter  90 value 82.912623
iter 100 value 82.889072
final  value 82.889072 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 110.187495 
iter  10 value 93.691338
iter  20 value 90.694856
iter  30 value 87.776207
iter  40 value 85.619874
iter  50 value 85.366747
iter  60 value 85.130516
iter  70 value 85.083746
iter  80 value 85.014665
iter  90 value 84.914102
iter 100 value 84.541388
final  value 84.541388 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 104.686020 
iter  10 value 90.994588
iter  20 value 87.400351
iter  30 value 86.132461
iter  40 value 85.382804
iter  50 value 85.342079
iter  60 value 85.183181
iter  70 value 85.026764
iter  80 value 83.600758
iter  90 value 83.002244
iter 100 value 82.893541
final  value 82.893541 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 109.521233 
iter  10 value 94.052334
iter  20 value 90.834140
iter  30 value 87.451700
iter  40 value 87.260681
iter  50 value 85.480130
iter  60 value 84.697641
iter  70 value 83.936524
iter  80 value 83.862750
iter  90 value 83.515301
iter 100 value 83.103861
final  value 83.103861 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 107.313888 
iter  10 value 93.837892
iter  20 value 92.301233
iter  30 value 91.225007
iter  40 value 90.934124
iter  50 value 89.159431
iter  60 value 87.365835
iter  70 value 86.412945
iter  80 value 86.181974
iter  90 value 85.912279
iter 100 value 85.518631
final  value 85.518631 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 104.133824 
iter  10 value 94.278071
iter  20 value 93.769378
iter  30 value 90.783305
iter  40 value 86.499331
iter  50 value 85.075215
iter  60 value 84.666310
iter  70 value 84.128250
iter  80 value 83.146565
iter  90 value 82.301518
iter 100 value 82.080349
final  value 82.080349 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 113.137118 
iter  10 value 94.306519
iter  20 value 90.245393
iter  30 value 87.737474
iter  40 value 87.207548
iter  50 value 85.377666
iter  60 value 84.042742
iter  70 value 83.592061
iter  80 value 83.260744
iter  90 value 82.360024
iter 100 value 81.956577
final  value 81.956577 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 120.111926 
iter  10 value 94.594026
iter  20 value 91.127005
iter  30 value 88.636065
iter  40 value 84.751468
iter  50 value 83.493923
iter  60 value 82.869508
iter  70 value 82.329664
iter  80 value 82.193844
iter  90 value 82.116917
iter 100 value 81.862468
final  value 81.862468 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.901895 
iter  10 value 90.488077
iter  20 value 87.877815
iter  30 value 86.893310
iter  40 value 83.039411
iter  50 value 81.759814
iter  60 value 81.505995
iter  70 value 81.232344
iter  80 value 81.182444
iter  90 value 81.140832
iter 100 value 81.134447
final  value 81.134447 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.266701 
iter  10 value 93.745133
iter  20 value 87.830573
iter  30 value 87.375331
iter  40 value 84.385981
iter  50 value 83.810191
iter  60 value 83.483637
iter  70 value 83.277463
iter  80 value 82.950004
iter  90 value 82.350967
iter 100 value 81.897416
final  value 81.897416 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 101.257414 
iter  10 value 93.290511
final  value 93.290493 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.757341 
final  value 94.054387 
converged
Fitting Repeat 3 

# weights:  103
initial  value 95.501166 
final  value 94.054463 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.834940 
final  value 94.054486 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.129004 
final  value 94.054451 
converged
Fitting Repeat 1 

# weights:  305
initial  value 105.473542 
iter  10 value 94.058246
iter  20 value 94.053238
iter  30 value 92.845125
iter  40 value 86.796735
iter  40 value 86.796735
iter  40 value 86.796735
final  value 86.796735 
converged
Fitting Repeat 2 

# weights:  305
initial  value 94.332935 
iter  10 value 94.057280
iter  20 value 94.039528
iter  30 value 86.064540
iter  40 value 84.784034
iter  50 value 84.783941
final  value 84.783631 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.613479 
iter  10 value 94.056832
iter  20 value 93.916645
final  value 93.915802 
converged
Fitting Repeat 4 

# weights:  305
initial  value 111.100145 
iter  10 value 94.048292
iter  20 value 93.780436
iter  30 value 92.557775
iter  40 value 92.547501
iter  50 value 92.547280
iter  60 value 92.048000
iter  70 value 91.919452
final  value 91.919425 
converged
Fitting Repeat 5 

# weights:  305
initial  value 116.447804 
iter  10 value 94.057877
iter  20 value 94.017731
iter  30 value 93.893907
iter  40 value 93.882507
final  value 93.864679 
converged
Fitting Repeat 1 

# weights:  507
initial  value 102.550864 
iter  10 value 92.747438
iter  20 value 86.936411
iter  30 value 86.935466
iter  40 value 86.842830
iter  50 value 83.214539
iter  60 value 82.869107
iter  70 value 82.072550
iter  80 value 81.371972
iter  90 value 80.911661
iter 100 value 80.072554
final  value 80.072554 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 96.827490 
iter  10 value 92.523683
iter  20 value 92.483293
iter  30 value 91.564874
iter  40 value 91.485861
iter  50 value 91.442796
iter  60 value 91.442154
final  value 91.441802 
converged
Fitting Repeat 3 

# weights:  507
initial  value 118.031078 
iter  10 value 93.923550
iter  20 value 93.892892
iter  30 value 91.669097
iter  40 value 91.447405
iter  50 value 89.498968
iter  60 value 87.816377
iter  70 value 87.680507
iter  80 value 87.673133
iter  90 value 87.642893
iter 100 value 87.179040
final  value 87.179040 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 96.683616 
iter  10 value 92.179697
iter  20 value 92.112430
iter  30 value 92.106167
iter  40 value 92.105403
iter  50 value 91.786522
iter  60 value 91.769774
final  value 91.755267 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.401834 
iter  10 value 94.060509
iter  20 value 94.042631
iter  30 value 88.489580
iter  40 value 86.368616
iter  50 value 86.143066
iter  60 value 84.468679
iter  70 value 84.453984
iter  80 value 84.446706
iter  90 value 84.341164
iter 100 value 83.921550
final  value 83.921550 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.997845 
final  value 94.008696 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.723332 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 100.049650 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.633551 
final  value 94.008696 
converged
Fitting Repeat 5 

# weights:  103
initial  value 103.193397 
final  value 94.052911 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.991441 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 97.095818 
iter  10 value 94.017036
final  value 93.998730 
converged
Fitting Repeat 3 

# weights:  305
initial  value 97.305716 
iter  10 value 93.085705
iter  20 value 92.980661
final  value 92.980619 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.011365 
final  value 93.900000 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.999738 
iter  10 value 93.332647
final  value 93.276243 
converged
Fitting Repeat 1 

# weights:  507
initial  value 97.707242 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.706954 
final  value 93.276243 
converged
Fitting Repeat 3 

# weights:  507
initial  value 106.026574 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  507
initial  value 106.884756 
final  value 94.008696 
converged
Fitting Repeat 5 

# weights:  507
initial  value 94.254780 
iter  10 value 92.212984
final  value 92.211111 
converged
Fitting Repeat 1 

# weights:  103
initial  value 98.184077 
iter  10 value 93.992024
iter  20 value 85.335151
iter  30 value 84.839816
iter  40 value 83.596632
iter  50 value 82.652668
iter  60 value 82.600371
iter  70 value 82.595402
final  value 82.595401 
converged
Fitting Repeat 2 

# weights:  103
initial  value 104.144899 
iter  10 value 94.056933
iter  20 value 93.711366
iter  30 value 93.500806
iter  40 value 93.415105
iter  50 value 92.131362
iter  60 value 85.641788
iter  70 value 83.537538
iter  80 value 83.204187
iter  90 value 83.076714
iter 100 value 82.114019
final  value 82.114019 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 98.597436 
iter  10 value 94.058678
iter  20 value 88.435780
iter  30 value 86.943951
iter  40 value 85.813101
iter  50 value 84.962605
iter  60 value 84.717390
iter  70 value 84.714613
iter  80 value 84.704122
iter  90 value 84.658458
iter 100 value 84.654708
final  value 84.654708 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 106.488443 
iter  10 value 94.019548
iter  20 value 93.455483
iter  30 value 93.391403
iter  40 value 93.301419
iter  50 value 89.942169
iter  60 value 85.354999
iter  70 value 84.506145
iter  80 value 84.248759
iter  90 value 82.815177
iter 100 value 81.705893
final  value 81.705893 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 97.058179 
iter  10 value 94.063004
iter  20 value 93.364529
iter  30 value 93.243477
iter  40 value 93.225522
iter  50 value 86.888272
iter  60 value 84.858381
iter  70 value 83.945646
iter  80 value 83.528515
iter  90 value 82.671804
iter 100 value 82.595603
final  value 82.595603 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 127.582763 
iter  10 value 93.568452
iter  20 value 92.554173
iter  30 value 91.852785
iter  40 value 91.641661
iter  50 value 90.928969
iter  60 value 86.702146
iter  70 value 81.897852
iter  80 value 80.496197
iter  90 value 80.111465
iter 100 value 80.034923
final  value 80.034923 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 100.556910 
iter  10 value 93.974424
iter  20 value 92.673873
iter  30 value 88.837487
iter  40 value 87.346414
iter  50 value 86.637701
iter  60 value 83.595869
iter  70 value 81.770558
iter  80 value 81.451282
iter  90 value 81.024005
iter 100 value 80.088091
final  value 80.088091 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.046571 
iter  10 value 94.111768
iter  20 value 90.313363
iter  30 value 84.997965
iter  40 value 84.118882
iter  50 value 83.135530
iter  60 value 81.884778
iter  70 value 80.900029
iter  80 value 80.698996
iter  90 value 80.400320
iter 100 value 80.270279
final  value 80.270279 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 116.998563 
iter  10 value 94.396247
iter  20 value 83.796877
iter  30 value 83.156486
iter  40 value 82.500570
iter  50 value 80.950773
iter  60 value 80.327061
iter  70 value 80.208167
iter  80 value 79.877411
iter  90 value 79.515413
iter 100 value 79.456727
final  value 79.456727 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 104.203299 
iter  10 value 93.981839
iter  20 value 85.947159
iter  30 value 85.140436
iter  40 value 83.840849
iter  50 value 80.418074
iter  60 value 79.991757
iter  70 value 79.790733
iter  80 value 79.707806
iter  90 value 79.693310
iter 100 value 79.590367
final  value 79.590367 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.285738 
iter  10 value 94.535317
iter  20 value 94.072080
iter  30 value 93.147788
iter  40 value 90.712420
iter  50 value 88.919647
iter  60 value 85.482174
iter  70 value 83.514524
iter  80 value 83.276606
iter  90 value 83.053643
iter 100 value 82.980363
final  value 82.980363 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 107.277023 
iter  10 value 95.195657
iter  20 value 94.058382
iter  30 value 88.411446
iter  40 value 84.434418
iter  50 value 81.864957
iter  60 value 81.521069
iter  70 value 81.474663
iter  80 value 80.803163
iter  90 value 79.941294
iter 100 value 79.574248
final  value 79.574248 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 136.149142 
iter  10 value 94.578212
iter  20 value 93.513962
iter  30 value 92.853667
iter  40 value 89.354387
iter  50 value 85.903949
iter  60 value 83.699498
iter  70 value 83.598646
iter  80 value 83.392203
iter  90 value 83.266056
iter 100 value 83.161177
final  value 83.161177 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 103.307599 
iter  10 value 94.065315
iter  20 value 93.451387
iter  30 value 93.273271
iter  40 value 86.203839
iter  50 value 83.934519
iter  60 value 82.113686
iter  70 value 80.357942
iter  80 value 80.191203
iter  90 value 80.028937
iter 100 value 79.691952
final  value 79.691952 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 107.221413 
iter  10 value 94.885905
iter  20 value 84.448097
iter  30 value 83.396452
iter  40 value 82.991316
iter  50 value 82.692385
iter  60 value 81.086675
iter  70 value 80.382892
iter  80 value 80.127594
iter  90 value 80.031437
iter 100 value 79.964808
final  value 79.964808 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 110.028196 
final  value 94.054444 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.797626 
final  value 94.054489 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.508079 
final  value 94.054644 
converged
Fitting Repeat 4 

# weights:  103
initial  value 99.925867 
final  value 94.054369 
converged
Fitting Repeat 5 

# weights:  103
initial  value 100.209758 
iter  10 value 94.054403
iter  20 value 93.510167
iter  30 value 85.093246
final  value 85.086024 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.054613 
iter  10 value 94.057753
iter  20 value 93.955248
iter  30 value 87.632392
iter  40 value 85.553331
iter  50 value 85.356087
iter  60 value 85.259198
iter  70 value 85.224259
iter  80 value 85.072884
iter  90 value 84.657154
iter 100 value 80.536084
final  value 80.536084 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 103.259631 
iter  10 value 94.013754
iter  20 value 94.010249
iter  30 value 94.009845
iter  40 value 82.826920
iter  50 value 79.022988
iter  60 value 78.697425
iter  70 value 78.694846
iter  80 value 78.693245
iter  90 value 78.692701
iter 100 value 78.692167
final  value 78.692167 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 124.782614 
iter  10 value 94.061620
iter  20 value 90.607516
iter  30 value 90.366927
iter  40 value 86.825920
iter  50 value 86.264236
iter  60 value 86.262308
iter  70 value 86.260852
iter  80 value 86.260541
iter  80 value 86.260540
iter  80 value 86.260540
final  value 86.260540 
converged
Fitting Repeat 4 

# weights:  305
initial  value 100.873889 
iter  10 value 94.056929
iter  20 value 94.035655
final  value 94.009763 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.690594 
iter  10 value 94.057949
iter  20 value 94.053119
iter  30 value 84.647023
iter  40 value 84.612259
iter  50 value 83.670582
iter  60 value 82.701785
iter  70 value 82.362164
final  value 82.360585 
converged
Fitting Repeat 1 

# weights:  507
initial  value 103.172336 
iter  10 value 94.061018
iter  20 value 86.504628
iter  30 value 86.170310
iter  40 value 86.157601
iter  50 value 82.189885
iter  60 value 81.773170
iter  70 value 81.740862
final  value 81.739706 
converged
Fitting Repeat 2 

# weights:  507
initial  value 100.759196 
iter  10 value 93.907835
iter  20 value 92.498819
iter  30 value 85.414550
iter  40 value 83.543699
iter  50 value 81.393965
iter  60 value 81.346505
final  value 81.344031 
converged
Fitting Repeat 3 

# weights:  507
initial  value 95.158161 
iter  10 value 94.016526
iter  20 value 94.016162
iter  30 value 93.930029
iter  40 value 93.458789
iter  50 value 88.739263
iter  60 value 88.552204
iter  70 value 87.855813
iter  80 value 87.102052
iter  90 value 86.812255
iter 100 value 86.792472
final  value 86.792472 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 99.555501 
iter  10 value 94.505800
iter  20 value 88.463647
iter  30 value 88.426477
iter  40 value 83.480117
iter  50 value 83.148858
final  value 83.148316 
converged
Fitting Repeat 5 

# weights:  507
initial  value 95.453649 
iter  10 value 94.060595
iter  20 value 92.184439
iter  30 value 88.106124
iter  40 value 88.020530
iter  50 value 88.008720
iter  60 value 87.999730
final  value 87.995444 
converged
Fitting Repeat 1 

# weights:  305
initial  value 136.253518 
iter  10 value 117.960519
iter  20 value 113.527436
iter  30 value 106.077050
iter  40 value 105.892525
iter  50 value 105.290711
iter  60 value 105.035793
iter  70 value 104.926812
iter  80 value 104.849250
iter  90 value 103.939501
iter 100 value 101.848191
final  value 101.848191 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 134.876773 
iter  10 value 117.857441
iter  20 value 109.422723
iter  30 value 105.603618
iter  40 value 103.499143
iter  50 value 101.807561
iter  60 value 100.898944
iter  70 value 100.817799
iter  80 value 100.787597
iter  90 value 100.730806
iter 100 value 100.717625
final  value 100.717625 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 127.953270 
iter  10 value 116.398736
iter  20 value 108.228812
iter  30 value 106.300906
iter  40 value 103.661410
iter  50 value 101.832614
iter  60 value 101.014315
iter  70 value 100.938509
iter  80 value 100.883067
iter  90 value 100.775843
iter 100 value 100.739697
final  value 100.739697 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 123.321111 
iter  10 value 110.763457
iter  20 value 105.688218
iter  30 value 105.058826
iter  40 value 103.871637
iter  50 value 102.745668
iter  60 value 102.654844
iter  70 value 102.630021
iter  80 value 101.490573
iter  90 value 101.413715
iter 100 value 101.123225
final  value 101.123225 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 146.890600 
iter  10 value 117.501205
iter  20 value 110.381242
iter  30 value 108.068460
iter  40 value 104.925841
iter  50 value 103.189694
iter  60 value 102.526339
iter  70 value 101.880892
iter  80 value 101.113603
iter  90 value 100.780956
iter 100 value 100.664866
final  value 100.664866 
stopped after 100 iterations
svmRadial
ranger
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls < cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases
Setting levels: control = Positive, case = Negative
Setting direction: controls > cases


RUNIT TEST PROTOCOL -- Fri Jul  5 23:47:41 2024 
*********************************************** 
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 

 
1 Test Suite : 
HPiP RUnit Tests - 7 test functions, 0 errors, 0 failures
Number of test functions: 7 
Number of errors: 0 
Number of failures: 0 
Warning messages:
1: `repeats` has no meaning for this resampling method. 
2: executing %dopar% sequentially: no parallel backend registered 
> 
> 
> 
> 
> proc.time()
   user  system elapsed 
 41.679   1.962  44.165