##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.19-bioc/R/bin/R CMD check --install=check:HPiP.install-out.txt --library=/home/biocbuild/bbs-3.19-bioc/R/site-library --timings HPiP_1.10.0.tar.gz
###
##############################################################################
##############################################################################


* using log directory ‘/home/biocbuild/bbs-3.19-bioc/meat/HPiP.Rcheck’
* using R version 4.4.0 (2024-04-24)
* 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 ‘1.10.0’
* 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       37.318  1.260  38.579
FSmethod      35.359  0.875  36.238
corr_plot     35.422  0.392  35.820
pred_ensembel 14.100  0.593  11.469
enrichfindP    0.498  0.052   8.737
* 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-3.19-bioc/meat/HPiP.Rcheck/00check.log’
for details.

##############################################################################
##############################################################################
###
### Running command:
###
###   /home/biocbuild/bbs-3.19-bioc/R/bin/R CMD INSTALL HPiP
###
##############################################################################
##############################################################################


* installing to library ‘/home/biocbuild/bbs-3.19-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 4.4.0 (2024-04-24) -- "Puppy Cup"
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 97.408072 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.094338 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 103.118780 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 116.410285 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 112.507441 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.632986 
iter  10 value 90.984552
iter  20 value 90.630443
iter  30 value 90.623388
final  value 90.623378 
converged
Fitting Repeat 2 

# weights:  305
initial  value 108.840485 
final  value 94.484210 
converged
Fitting Repeat 3 

# weights:  305
initial  value 98.900833 
final  value 94.448052 
converged
Fitting Repeat 4 

# weights:  305
initial  value 95.421912 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 94.963784 
final  value 94.322898 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.848388 
iter  10 value 93.714416
iter  20 value 93.586319
iter  30 value 93.397128
iter  40 value 93.397012
iter  40 value 93.397011
iter  40 value 93.397011
final  value 93.397011 
converged
Fitting Repeat 2 

# weights:  507
initial  value 97.548295 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  507
initial  value 103.365600 
iter  10 value 92.382749
iter  20 value 92.293156
iter  30 value 92.059988
iter  40 value 91.905890
iter  50 value 91.905787
iter  50 value 91.905786
iter  50 value 91.905786
final  value 91.905786 
converged
Fitting Repeat 4 

# weights:  507
initial  value 127.719147 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 126.235347 
iter  10 value 93.219337
iter  20 value 93.216343
final  value 93.216334 
converged
Fitting Repeat 1 

# weights:  103
initial  value 113.365766 
iter  10 value 94.382178
iter  20 value 87.661347
iter  30 value 87.257094
iter  40 value 85.976342
iter  50 value 85.805741
iter  60 value 85.377648
iter  70 value 84.642482
iter  80 value 83.554097
iter  90 value 83.218111
iter 100 value 83.159970
final  value 83.159970 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 104.224702 
iter  10 value 94.489183
iter  20 value 85.735943
iter  30 value 84.681202
iter  40 value 83.231492
iter  50 value 83.062263
iter  60 value 83.004046
iter  70 value 82.920118
final  value 82.920106 
converged
Fitting Repeat 3 

# weights:  103
initial  value 104.024336 
iter  10 value 94.488799
iter  20 value 94.430593
iter  30 value 89.956826
iter  40 value 87.608157
iter  50 value 87.343282
iter  60 value 86.001911
iter  70 value 83.613311
iter  80 value 83.386632
iter  90 value 83.112522
iter 100 value 82.415905
final  value 82.415905 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  103
initial  value 102.734652 
iter  10 value 94.457809
iter  20 value 93.615826
iter  30 value 92.777595
iter  40 value 85.180918
iter  50 value 84.705932
iter  60 value 84.418971
iter  70 value 84.197654
final  value 84.168749 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.062461 
iter  10 value 94.488523
iter  20 value 85.232028
iter  30 value 84.666144
iter  40 value 84.516713
iter  50 value 84.262215
iter  60 value 84.168754
final  value 84.168749 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.814736 
iter  10 value 94.577050
iter  20 value 85.486613
iter  30 value 84.691199
iter  40 value 83.890168
iter  50 value 80.676267
iter  60 value 79.847780
iter  70 value 79.432078
iter  80 value 79.278333
iter  90 value 79.208024
iter 100 value 79.195789
final  value 79.195789 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 108.746364 
iter  10 value 94.298097
iter  20 value 87.332842
iter  30 value 82.448973
iter  40 value 81.564261
iter  50 value 80.969542
iter  60 value 80.033140
iter  70 value 79.144264
iter  80 value 78.917338
iter  90 value 78.774798
iter 100 value 78.580487
final  value 78.580487 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.028760 
iter  10 value 94.405308
iter  20 value 86.497179
iter  30 value 85.063715
iter  40 value 84.333424
iter  50 value 83.224027
iter  60 value 82.045520
iter  70 value 81.760027
iter  80 value 81.534042
iter  90 value 81.482093
iter 100 value 81.012373
final  value 81.012373 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 99.720147 
iter  10 value 94.147115
iter  20 value 88.265598
iter  30 value 84.934130
iter  40 value 83.603529
iter  50 value 83.159296
iter  60 value 83.132338
iter  70 value 83.076574
iter  80 value 82.097696
iter  90 value 81.221800
iter 100 value 80.359809
final  value 80.359809 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 105.583851 
iter  10 value 94.333676
iter  20 value 87.269002
iter  30 value 84.647742
iter  40 value 84.001399
iter  50 value 83.805372
iter  60 value 82.289810
iter  70 value 79.680129
iter  80 value 79.286199
iter  90 value 78.760866
iter 100 value 78.337056
final  value 78.337056 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.631349 
iter  10 value 94.437042
iter  20 value 90.919108
iter  30 value 86.915833
iter  40 value 86.523398
iter  50 value 85.130017
iter  60 value 81.950612
iter  70 value 80.399376
iter  80 value 79.453360
iter  90 value 78.782737
iter 100 value 78.578922
final  value 78.578922 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 131.911635 
iter  10 value 97.639754
iter  20 value 94.388540
iter  30 value 87.542936
iter  40 value 86.167867
iter  50 value 84.805528
iter  60 value 84.407577
iter  70 value 83.835254
iter  80 value 83.123416
iter  90 value 82.977493
iter 100 value 82.899427
final  value 82.899427 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 124.448152 
iter  10 value 94.398604
iter  20 value 89.538692
iter  30 value 85.806924
iter  40 value 83.606439
iter  50 value 82.047479
iter  60 value 81.448934
iter  70 value 80.769015
iter  80 value 80.460975
iter  90 value 80.237836
iter 100 value 79.690055
final  value 79.690055 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 118.521765 
iter  10 value 94.967122
iter  20 value 92.023117
iter  30 value 88.750862
iter  40 value 88.104878
iter  50 value 87.832257
iter  60 value 85.028415
iter  70 value 82.581303
iter  80 value 80.081739
iter  90 value 79.677990
iter 100 value 79.274028
final  value 79.274028 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 127.461345 
iter  10 value 94.293439
iter  20 value 85.840314
iter  30 value 84.977396
iter  40 value 84.325545
iter  50 value 83.513241
iter  60 value 82.852469
iter  70 value 82.290572
iter  80 value 80.669159
iter  90 value 80.025106
iter 100 value 79.705442
final  value 79.705442 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 108.736369 
final  value 94.485747 
converged
Fitting Repeat 2 

# weights:  103
initial  value 98.164812 
iter  10 value 93.758536
iter  20 value 93.747766
iter  30 value 93.499581
final  value 93.462034 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.524061 
final  value 94.485597 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.740683 
final  value 94.485604 
converged
Fitting Repeat 5 

# weights:  103
initial  value 96.311223 
final  value 94.485939 
converged
Fitting Repeat 1 

# weights:  305
initial  value 101.537909 
iter  10 value 94.496029
iter  20 value 94.487775
iter  30 value 93.868532
iter  40 value 93.696466
iter  50 value 89.033325
iter  60 value 88.213621
iter  70 value 88.199052
final  value 88.198542 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.982127 
iter  10 value 94.489172
iter  20 value 94.481415
iter  30 value 94.342739
iter  40 value 94.200986
iter  50 value 94.158553
iter  60 value 94.157776
final  value 94.157497 
converged
Fitting Repeat 3 

# weights:  305
initial  value 96.114579 
iter  10 value 94.432309
iter  20 value 94.430562
iter  30 value 94.429637
iter  40 value 94.263356
iter  50 value 94.254898
iter  60 value 93.747170
iter  70 value 93.746477
iter  70 value 93.746477
iter  70 value 93.746477
final  value 93.746477 
converged
Fitting Repeat 4 

# weights:  305
initial  value 114.982508 
iter  10 value 93.358327
iter  20 value 93.354225
iter  30 value 92.276404
iter  40 value 91.501603
iter  50 value 91.373933
iter  60 value 91.244345
final  value 91.243127 
converged
Fitting Repeat 5 

# weights:  305
initial  value 106.999570 
iter  10 value 94.471086
iter  20 value 94.296792
iter  30 value 90.122942
iter  40 value 90.121195
iter  50 value 83.971381
iter  60 value 83.805227
iter  70 value 83.767983
iter  80 value 82.622751
iter  90 value 82.611799
iter 100 value 82.603898
final  value 82.603898 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 109.043797 
iter  10 value 94.475020
iter  20 value 94.472213
iter  30 value 94.417704
iter  40 value 83.943995
iter  50 value 83.929616
final  value 83.928734 
converged
Fitting Repeat 2 

# weights:  507
initial  value 106.635831 
iter  10 value 94.487255
iter  20 value 94.451078
iter  30 value 92.297858
iter  40 value 83.791648
iter  50 value 82.155837
iter  60 value 82.110011
iter  70 value 81.620324
iter  80 value 81.589117
iter  90 value 81.587169
iter 100 value 81.550331
final  value 81.550331 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 123.651217 
iter  10 value 94.495491
iter  20 value 94.289384
iter  30 value 94.271955
iter  40 value 94.255703
iter  50 value 86.437266
iter  60 value 83.323330
iter  70 value 82.958890
iter  80 value 82.949633
iter  80 value 82.949633
iter  80 value 82.949633
final  value 82.949633 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.378143 
iter  10 value 86.914577
iter  20 value 84.692996
iter  30 value 84.540093
iter  40 value 83.459598
iter  50 value 83.206372
iter  60 value 83.205434
iter  70 value 83.204292
final  value 83.201333 
converged
Fitting Repeat 5 

# weights:  507
initial  value 105.118325 
iter  10 value 94.492632
iter  20 value 94.481045
iter  30 value 94.351967
iter  40 value 85.777900
iter  50 value 84.940564
final  value 84.939923 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.228350 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.725702 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.405032 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.698217 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 105.563479 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.029225 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.981437 
final  value 94.046704 
converged
Fitting Repeat 3 

# weights:  305
initial  value 105.496989 
final  value 94.466823 
converged
Fitting Repeat 4 

# weights:  305
initial  value 105.428543 
iter  10 value 94.300821
iter  20 value 94.298191
final  value 94.298182 
converged
Fitting Repeat 5 

# weights:  305
initial  value 107.480339 
final  value 94.484213 
converged
Fitting Repeat 1 

# weights:  507
initial  value 108.703918 
iter  10 value 94.345185
iter  20 value 94.090886
iter  30 value 94.090586
final  value 94.090583 
converged
Fitting Repeat 2 

# weights:  507
initial  value 104.725304 
iter  10 value 91.733882
iter  20 value 88.553945
iter  30 value 87.950180
iter  40 value 87.018858
iter  50 value 87.017607
iter  50 value 87.017606
iter  50 value 87.017606
final  value 87.017606 
converged
Fitting Repeat 3 

# weights:  507
initial  value 93.513379 
iter  10 value 89.384318
iter  20 value 89.110276
iter  30 value 89.020978
final  value 89.020780 
converged
Fitting Repeat 4 

# weights:  507
initial  value 99.601277 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  507
initial  value 100.926938 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 99.463337 
iter  10 value 94.340742
iter  20 value 88.575787
iter  30 value 87.837394
iter  40 value 87.456284
iter  50 value 87.070262
iter  60 value 86.924604
final  value 86.924184 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.333741 
iter  10 value 94.554151
iter  20 value 91.222763
iter  30 value 90.029005
iter  40 value 89.318994
iter  50 value 89.087389
final  value 89.086799 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.627032 
iter  10 value 94.416943
iter  20 value 94.136440
iter  30 value 93.451111
iter  40 value 90.725934
iter  50 value 89.028802
iter  60 value 88.159572
iter  70 value 86.853012
iter  80 value 86.494982
iter  90 value 86.292696
final  value 86.229105 
converged
Fitting Repeat 4 

# weights:  103
initial  value 98.554987 
iter  10 value 94.489158
iter  20 value 94.486211
iter  30 value 94.323846
iter  40 value 94.288252
iter  50 value 92.977559
iter  60 value 88.594434
iter  70 value 88.386381
iter  80 value 88.343227
iter  90 value 88.334393
iter 100 value 88.331413
final  value 88.331413 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 96.178093 
iter  10 value 94.488332
iter  20 value 94.257381
iter  30 value 94.203426
iter  40 value 94.124861
iter  50 value 93.796339
iter  60 value 92.199051
iter  70 value 90.666175
iter  80 value 90.512323
iter  90 value 90.480636
iter 100 value 90.215209
final  value 90.215209 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 102.129957 
iter  10 value 94.502044
iter  20 value 90.460590
iter  30 value 87.815055
iter  40 value 86.631043
iter  50 value 85.710404
iter  60 value 85.044399
iter  70 value 84.177822
iter  80 value 84.110320
iter  90 value 84.011125
iter 100 value 83.974275
final  value 83.974275 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 120.821968 
iter  10 value 94.477979
iter  20 value 93.559242
iter  30 value 91.317863
iter  40 value 88.413502
iter  50 value 86.046213
iter  60 value 85.523122
iter  70 value 84.919148
iter  80 value 84.369211
iter  90 value 84.138258
iter 100 value 84.041307
final  value 84.041307 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 103.452565 
iter  10 value 94.504051
iter  20 value 91.636666
iter  30 value 90.067566
iter  40 value 89.401098
iter  50 value 89.381285
iter  60 value 89.299899
iter  70 value 87.336450
iter  80 value 85.116467
iter  90 value 84.200482
iter 100 value 84.154131
final  value 84.154131 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 107.984098 
iter  10 value 94.493909
iter  20 value 94.135803
iter  30 value 88.455712
iter  40 value 87.812000
iter  50 value 87.628907
iter  60 value 86.576086
iter  70 value 84.902046
iter  80 value 84.512275
iter  90 value 84.417324
iter 100 value 84.400128
final  value 84.400128 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.514671 
iter  10 value 94.498649
iter  20 value 90.845173
iter  30 value 87.738373
iter  40 value 87.311520
iter  50 value 86.628942
iter  60 value 85.311137
iter  70 value 85.000097
iter  80 value 84.156754
iter  90 value 83.780434
iter 100 value 83.686898
final  value 83.686898 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 114.686404 
iter  10 value 94.278553
iter  20 value 90.958609
iter  30 value 89.339716
iter  40 value 85.390848
iter  50 value 84.793939
iter  60 value 84.395755
iter  70 value 84.043463
iter  80 value 83.826079
iter  90 value 83.614249
iter 100 value 83.568773
final  value 83.568773 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 109.123832 
iter  10 value 94.877421
iter  20 value 92.716460
iter  30 value 88.784367
iter  40 value 88.552600
iter  50 value 85.259726
iter  60 value 84.502400
iter  70 value 84.251878
iter  80 value 84.121952
iter  90 value 84.005835
iter 100 value 83.935043
final  value 83.935043 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 113.345376 
iter  10 value 95.450050
iter  20 value 89.964966
iter  30 value 87.754485
iter  40 value 85.228008
iter  50 value 84.626359
iter  60 value 84.468816
iter  70 value 84.318275
iter  80 value 84.258432
iter  90 value 84.242232
iter 100 value 84.141919
final  value 84.141919 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 107.194266 
iter  10 value 96.539135
iter  20 value 93.307180
iter  30 value 87.682200
iter  40 value 87.371767
iter  50 value 86.884049
iter  60 value 85.891527
iter  70 value 84.708098
iter  80 value 84.230923
iter  90 value 83.974397
iter 100 value 83.801818
final  value 83.801818 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 106.079027 
iter  10 value 98.223747
iter  20 value 89.329934
iter  30 value 88.280269
iter  40 value 84.957357
iter  50 value 84.859084
iter  60 value 84.683721
iter  70 value 84.428860
iter  80 value 83.998392
iter  90 value 83.794853
iter 100 value 83.745720
final  value 83.745720 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 98.089750 
final  value 94.485975 
converged
Fitting Repeat 2 

# weights:  103
initial  value 102.007105 
final  value 94.485834 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.185160 
final  value 94.485743 
converged
Fitting Repeat 4 

# weights:  103
initial  value 94.685164 
final  value 94.485807 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.068317 
final  value 94.486058 
converged
Fitting Repeat 1 

# weights:  305
initial  value 97.934076 
iter  10 value 94.489005
iter  20 value 94.294309
iter  30 value 90.718983
final  value 89.412212 
converged
Fitting Repeat 2 

# weights:  305
initial  value 100.426110 
iter  10 value 94.488678
iter  20 value 94.483974
iter  30 value 94.235177
iter  40 value 94.091442
final  value 94.091223 
converged
Fitting Repeat 3 

# weights:  305
initial  value 109.594689 
iter  10 value 94.490760
iter  20 value 94.489708
iter  30 value 94.484887
iter  40 value 94.445147
iter  50 value 94.152807
iter  60 value 89.106849
iter  70 value 88.400490
iter  80 value 87.753952
iter  90 value 87.634942
iter 100 value 87.634139
final  value 87.634139 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 98.378473 
iter  10 value 94.051536
iter  20 value 88.378145
iter  30 value 87.041006
iter  40 value 87.035332
iter  50 value 87.022042
iter  60 value 86.840312
iter  70 value 86.819338
final  value 86.819219 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.195529 
iter  10 value 94.489624
iter  20 value 94.484611
final  value 94.484381 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.846565 
iter  10 value 94.463712
iter  20 value 92.716298
iter  30 value 92.211594
iter  40 value 92.028715
iter  50 value 92.012649
final  value 92.011060 
converged
Fitting Repeat 2 

# weights:  507
initial  value 99.026068 
iter  10 value 94.475383
iter  20 value 94.370199
iter  30 value 89.095101
iter  40 value 87.748241
iter  50 value 86.022957
iter  60 value 85.625777
iter  70 value 85.601875
iter  80 value 85.597540
iter  90 value 85.594359
iter 100 value 85.511159
final  value 85.511159 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 101.713485 
iter  10 value 94.043927
iter  20 value 91.326726
iter  30 value 90.495119
iter  40 value 90.493880
iter  50 value 89.231303
iter  60 value 88.950937
iter  70 value 88.949437
iter  80 value 88.910148
iter  90 value 88.146793
iter 100 value 88.131471
final  value 88.131471 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 97.288206 
iter  10 value 90.582178
iter  20 value 89.854743
iter  30 value 89.582676
iter  40 value 89.580226
iter  50 value 88.991230
iter  60 value 88.434701
final  value 88.434333 
converged
Fitting Repeat 5 

# weights:  507
initial  value 101.114008 
iter  10 value 93.009140
iter  20 value 89.423638
iter  30 value 89.369022
iter  40 value 89.098296
iter  50 value 89.095733
iter  60 value 89.092298
iter  70 value 89.085986
iter  70 value 89.085985
final  value 89.085985 
converged
Fitting Repeat 1 

# weights:  103
initial  value 104.139042 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  103
initial  value 96.361625 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  103
initial  value 107.947826 
final  value 94.484211 
converged
Fitting Repeat 4 

# weights:  103
initial  value 103.209985 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.292820 
iter  10 value 86.188533
iter  20 value 83.637156
iter  30 value 83.458571
iter  40 value 82.862964
iter  50 value 82.860667
iter  60 value 82.860535
final  value 82.860531 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.004537 
final  value 94.484211 
converged
Fitting Repeat 2 

# weights:  305
initial  value 99.329026 
final  value 94.484211 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.575816 
iter  10 value 87.538301
iter  20 value 87.233720
iter  30 value 86.630032
final  value 86.630002 
converged
Fitting Repeat 4 

# weights:  305
initial  value 98.474024 
final  value 94.484211 
converged
Fitting Repeat 5 

# weights:  305
initial  value 103.808033 
iter  10 value 93.786074
final  value 93.772973 
converged
Fitting Repeat 1 

# weights:  507
initial  value 95.446104 
iter  10 value 85.075838
iter  20 value 81.717610
iter  30 value 80.920023
final  value 80.919959 
converged
Fitting Repeat 2 

# weights:  507
initial  value 98.409119 
final  value 92.613874 
converged
Fitting Repeat 3 

# weights:  507
initial  value 105.524748 
iter  10 value 93.773190
final  value 93.772973 
converged
Fitting Repeat 4 

# weights:  507
initial  value 110.971462 
iter  10 value 93.597509
iter  20 value 89.469656
iter  30 value 87.494154
final  value 87.368423 
converged
Fitting Repeat 5 

# weights:  507
initial  value 123.250583 
final  value 94.484211 
converged
Fitting Repeat 1 

# weights:  103
initial  value 97.238983 
iter  10 value 94.255155
iter  20 value 92.197580
iter  30 value 83.230418
iter  40 value 82.468580
iter  50 value 79.037075
iter  60 value 77.363424
iter  70 value 75.989554
iter  80 value 75.785254
iter  90 value 75.602247
iter 100 value 75.579639
final  value 75.579639 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 99.044516 
iter  10 value 94.486571
iter  20 value 93.995914
iter  30 value 93.978434
iter  40 value 93.934549
iter  50 value 88.454475
iter  60 value 87.023835
iter  70 value 84.629866
iter  80 value 81.578935
iter  90 value 81.147886
iter 100 value 80.619114
final  value 80.619114 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 99.833022 
iter  10 value 94.224598
iter  20 value 88.588593
iter  30 value 85.465106
iter  40 value 82.646502
iter  50 value 81.048145
iter  60 value 79.582041
iter  70 value 79.313696
iter  80 value 79.312478
iter  80 value 79.312477
iter  80 value 79.312477
final  value 79.312477 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.024347 
iter  10 value 94.488433
iter  20 value 94.426444
iter  30 value 92.158990
iter  40 value 88.083341
iter  50 value 79.807773
iter  60 value 79.556371
iter  70 value 77.990706
iter  80 value 76.439473
iter  90 value 75.981516
iter 100 value 75.958430
final  value 75.958430 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 117.610861 
iter  10 value 94.301476
iter  20 value 85.592167
iter  30 value 84.412173
iter  40 value 82.074215
iter  50 value 81.918599
iter  60 value 81.846740
iter  70 value 81.840035
iter  70 value 81.840034
iter  70 value 81.840034
final  value 81.840034 
converged
Fitting Repeat 1 

# weights:  305
initial  value 106.948214 
iter  10 value 94.450609
iter  20 value 93.873014
iter  30 value 93.770445
iter  40 value 93.649126
iter  50 value 84.035743
iter  60 value 82.310066
iter  70 value 81.648405
iter  80 value 80.001888
iter  90 value 76.777937
iter 100 value 75.879834
final  value 75.879834 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 122.117614 
iter  10 value 94.628331
iter  20 value 88.583823
iter  30 value 84.576949
iter  40 value 80.252780
iter  50 value 77.376807
iter  60 value 75.827357
iter  70 value 75.408151
iter  80 value 75.289528
iter  90 value 75.172123
iter 100 value 75.147603
final  value 75.147603 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 121.243562 
iter  10 value 95.006116
iter  20 value 94.494693
iter  30 value 94.322055
iter  40 value 93.917043
iter  50 value 93.609401
iter  60 value 81.590938
iter  70 value 78.807315
iter  80 value 78.622241
iter  90 value 77.886710
iter 100 value 77.517229
final  value 77.517229 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 116.884186 
iter  10 value 94.466267
iter  20 value 84.583054
iter  30 value 78.437065
iter  40 value 77.596302
iter  50 value 76.757997
iter  60 value 76.507935
iter  70 value 76.455197
iter  80 value 76.189018
iter  90 value 76.085504
iter 100 value 76.000747
final  value 76.000747 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 108.519417 
iter  10 value 94.482884
iter  20 value 87.008203
iter  30 value 84.929243
iter  40 value 84.151990
iter  50 value 82.393485
iter  60 value 79.494435
iter  70 value 78.401600
iter  80 value 77.647564
iter  90 value 76.755656
iter 100 value 76.415199
final  value 76.415199 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 123.325073 
iter  10 value 92.514214
iter  20 value 82.001873
iter  30 value 78.129198
iter  40 value 77.350973
iter  50 value 76.955498
iter  60 value 76.519224
iter  70 value 75.609647
iter  80 value 75.290015
iter  90 value 75.258851
iter 100 value 75.158323
final  value 75.158323 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 120.334764 
iter  10 value 93.446835
iter  20 value 81.064724
iter  30 value 79.376405
iter  40 value 76.635772
iter  50 value 76.367403
iter  60 value 76.163244
iter  70 value 75.914923
iter  80 value 75.873973
iter  90 value 75.830694
iter 100 value 75.709042
final  value 75.709042 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 128.210581 
iter  10 value 91.510942
iter  20 value 83.900908
iter  30 value 80.615192
iter  40 value 79.608168
iter  50 value 79.403791
iter  60 value 78.604172
iter  70 value 76.549611
iter  80 value 75.272012
iter  90 value 75.029598
iter 100 value 74.867356
final  value 74.867356 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 104.266907 
iter  10 value 98.997032
iter  20 value 87.088414
iter  30 value 82.519118
iter  40 value 80.835433
iter  50 value 80.110499
iter  60 value 79.918359
iter  70 value 79.814644
iter  80 value 79.733764
iter  90 value 79.227323
iter 100 value 77.970701
final  value 77.970701 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 111.587532 
iter  10 value 94.616528
iter  20 value 89.965561
iter  30 value 86.265953
iter  40 value 80.915537
iter  50 value 80.613674
iter  60 value 79.938480
iter  70 value 78.687881
iter  80 value 77.413396
iter  90 value 76.853470
iter 100 value 76.406864
final  value 76.406864 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 101.808028 
final  value 94.485835 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.409390 
iter  10 value 93.633788
final  value 93.542520 
converged
Fitting Repeat 3 

# weights:  103
initial  value 97.616765 
final  value 94.485984 
converged
Fitting Repeat 4 

# weights:  103
initial  value 101.940845 
final  value 94.485868 
converged
Fitting Repeat 5 

# weights:  103
initial  value 98.242956 
final  value 94.485732 
converged
Fitting Repeat 1 

# weights:  305
initial  value 96.495545 
iter  10 value 84.183069
iter  20 value 80.219756
iter  30 value 79.672253
iter  40 value 79.664276
final  value 79.663865 
converged
Fitting Repeat 2 

# weights:  305
initial  value 96.009234 
iter  10 value 93.778179
iter  20 value 93.773901
iter  30 value 93.344228
iter  40 value 92.120049
iter  50 value 78.449455
iter  60 value 76.849907
iter  70 value 76.254812
iter  80 value 73.753406
iter  90 value 73.712894
iter 100 value 73.711468
final  value 73.711468 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 105.289912 
iter  10 value 93.777868
iter  20 value 93.774504
final  value 93.774125 
converged
Fitting Repeat 4 

# weights:  305
initial  value 102.152085 
iter  10 value 93.778417
iter  20 value 93.775877
iter  30 value 84.528635
final  value 83.895089 
converged
Fitting Repeat 5 

# weights:  305
initial  value 105.854908 
iter  10 value 94.488555
iter  20 value 94.484240
iter  30 value 80.431212
iter  40 value 77.347217
iter  50 value 76.941100
iter  60 value 76.655561
iter  70 value 76.653510
iter  70 value 76.653510
final  value 76.653510 
converged
Fitting Repeat 1 

# weights:  507
initial  value 117.138160 
iter  10 value 92.336508
iter  20 value 91.664255
iter  30 value 88.636119
iter  40 value 87.419450
iter  50 value 86.776945
iter  60 value 86.620933
iter  70 value 86.619694
iter  80 value 86.600109
iter  90 value 86.242080
iter 100 value 86.115723
final  value 86.115723 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 111.175705 
iter  10 value 93.781390
iter  20 value 93.778925
iter  30 value 91.770683
iter  40 value 86.038166
iter  50 value 86.007835
iter  60 value 85.969361
iter  70 value 85.967293
iter  80 value 81.550834
iter  90 value 81.549110
iter 100 value 79.690915
final  value 79.690915 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.061823 
iter  10 value 93.786118
iter  20 value 93.781643
iter  30 value 93.307823
iter  40 value 87.374828
iter  50 value 85.432312
iter  60 value 84.598313
iter  70 value 84.222005
iter  80 value 77.691863
iter  90 value 76.012698
iter 100 value 74.285301
final  value 74.285301 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 94.255041 
iter  10 value 82.057925
iter  20 value 81.926389
iter  30 value 81.917890
iter  40 value 81.917054
iter  50 value 79.484207
iter  60 value 78.822992
iter  70 value 78.145030
iter  80 value 78.048528
iter  90 value 78.047861
iter 100 value 78.046805
final  value 78.046805 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 103.384456 
iter  10 value 94.492395
iter  20 value 89.742168
iter  30 value 83.901702
iter  40 value 83.894742
iter  50 value 80.525727
iter  60 value 80.135653
iter  70 value 80.122966
iter  80 value 80.122385
iter  90 value 79.458219
iter 100 value 79.178613
final  value 79.178613 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 96.659869 
final  value 94.038251 
converged
Fitting Repeat 2 

# weights:  103
initial  value 99.406637 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.710713 
iter  10 value 90.900201
iter  20 value 88.242693
final  value 88.242188 
converged
Fitting Repeat 4 

# weights:  103
initial  value 95.745500 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  103
initial  value 104.671914 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 104.623105 
final  value 94.038251 
converged
Fitting Repeat 2 

# weights:  305
initial  value 104.352532 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 102.486062 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  305
initial  value 107.182817 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 96.595625 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  507
initial  value 103.996394 
final  value 94.038251 
converged
Fitting Repeat 2 

# weights:  507
initial  value 95.651838 
iter  10 value 93.923777
iter  20 value 93.860394
final  value 93.860356 
converged
Fitting Repeat 3 

# weights:  507
initial  value 96.414668 
iter  10 value 93.712323
iter  20 value 93.688939
final  value 93.688927 
converged
Fitting Repeat 4 

# weights:  507
initial  value 112.855752 
iter  10 value 89.227592
iter  20 value 85.835286
iter  30 value 80.501905
iter  40 value 80.080434
iter  50 value 80.043048
final  value 80.042996 
converged
Fitting Repeat 5 

# weights:  507
initial  value 113.417822 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  103
initial  value 96.294508 
iter  10 value 94.054833
iter  20 value 86.843868
iter  30 value 85.544120
iter  40 value 85.004988
iter  50 value 83.855225
iter  60 value 83.025921
iter  70 value 83.018390
iter  80 value 83.016487
final  value 83.016486 
converged
Fitting Repeat 2 

# weights:  103
initial  value 95.247106 
iter  10 value 84.591600
iter  20 value 83.710667
iter  30 value 83.449093
iter  40 value 82.923590
iter  50 value 82.619252
iter  60 value 82.559618
final  value 82.559517 
converged
Fitting Repeat 3 

# weights:  103
initial  value 101.584899 
iter  10 value 94.061127
iter  20 value 90.624642
iter  30 value 86.554279
iter  40 value 84.802656
iter  50 value 83.454465
iter  60 value 83.443444
iter  70 value 83.415715
final  value 83.412442 
converged
Fitting Repeat 4 

# weights:  103
initial  value 113.629854 
iter  10 value 93.486548
iter  20 value 88.573234
iter  30 value 86.953193
iter  40 value 84.399550
iter  50 value 81.631038
iter  60 value 81.336902
iter  70 value 80.997191
iter  80 value 80.031691
iter  90 value 79.030533
iter 100 value 78.818783
final  value 78.818783 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  103
initial  value 101.902669 
iter  10 value 93.972684
iter  20 value 85.492000
iter  30 value 81.695587
iter  40 value 81.406213
iter  50 value 81.016239
iter  60 value 80.854904
iter  70 value 80.096436
iter  80 value 79.498210
iter  90 value 79.155374
iter 100 value 79.048506
final  value 79.048506 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 101.519453 
iter  10 value 94.144121
iter  20 value 93.975546
iter  30 value 85.902899
iter  40 value 85.503442
iter  50 value 83.203818
iter  60 value 81.178055
iter  70 value 79.170563
iter  80 value 78.691484
iter  90 value 78.248155
iter 100 value 78.107837
final  value 78.107837 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 112.475213 
iter  10 value 94.092192
iter  20 value 91.034615
iter  30 value 90.244353
iter  40 value 87.133003
iter  50 value 82.064871
iter  60 value 80.160471
iter  70 value 79.165320
iter  80 value 78.629125
iter  90 value 78.529461
iter 100 value 78.503949
final  value 78.503949 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 102.744162 
iter  10 value 93.669593
iter  20 value 86.595492
iter  30 value 85.064657
iter  40 value 84.407470
iter  50 value 82.874794
iter  60 value 82.742669
iter  70 value 82.564164
iter  80 value 81.912362
iter  90 value 80.269036
iter 100 value 78.423508
final  value 78.423508 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 116.918538 
iter  10 value 94.048886
iter  20 value 92.747165
iter  30 value 85.655940
iter  40 value 83.754612
iter  50 value 83.273800
iter  60 value 80.899847
iter  70 value 79.237113
iter  80 value 78.753852
iter  90 value 78.325406
iter 100 value 78.262519
final  value 78.262519 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 123.436102 
iter  10 value 89.570109
iter  20 value 83.648922
iter  30 value 82.329730
iter  40 value 81.283890
iter  50 value 80.966344
iter  60 value 80.913575
iter  70 value 80.868813
iter  80 value 80.806805
iter  90 value 80.083581
iter 100 value 78.876801
final  value 78.876801 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 115.297485 
iter  10 value 94.038898
iter  20 value 87.847905
iter  30 value 85.290034
iter  40 value 82.420547
iter  50 value 80.066575
iter  60 value 79.270536
iter  70 value 79.040406
iter  80 value 78.885639
iter  90 value 78.256890
iter 100 value 77.874062
final  value 77.874062 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 114.858249 
iter  10 value 95.045345
iter  20 value 86.660241
iter  30 value 84.625889
iter  40 value 84.283634
iter  50 value 80.818016
iter  60 value 79.828428
iter  70 value 79.038890
iter  80 value 78.578534
iter  90 value 78.243968
iter 100 value 77.663540
final  value 77.663540 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.966979 
iter  10 value 91.678345
iter  20 value 82.659131
iter  30 value 81.058324
iter  40 value 80.698574
iter  50 value 78.827034
iter  60 value 78.469653
iter  70 value 78.181937
iter  80 value 77.538642
iter  90 value 77.327972
iter 100 value 77.263881
final  value 77.263881 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 122.570956 
iter  10 value 94.863168
iter  20 value 94.016348
iter  30 value 87.660735
iter  40 value 85.747642
iter  50 value 84.858225
iter  60 value 82.090883
iter  70 value 80.039786
iter  80 value 79.162057
iter  90 value 78.808893
iter 100 value 78.413295
final  value 78.413295 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 125.100312 
iter  10 value 94.141045
iter  20 value 89.722154
iter  30 value 82.627206
iter  40 value 80.707436
iter  50 value 79.495641
iter  60 value 78.494941
iter  70 value 78.188043
iter  80 value 78.080490
iter  90 value 77.775030
iter 100 value 77.567842
final  value 77.567842 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 107.009699 
iter  10 value 94.054746
iter  20 value 93.845741
iter  30 value 92.801212
iter  40 value 92.727310
iter  50 value 92.726208
final  value 92.726204 
converged
Fitting Repeat 2 

# weights:  103
initial  value 100.153201 
iter  10 value 94.066905
iter  20 value 87.214752
iter  30 value 86.380346
iter  40 value 85.981199
iter  50 value 85.715868
iter  60 value 84.892233
final  value 84.892185 
converged
Fitting Repeat 3 

# weights:  103
initial  value 98.079451 
final  value 94.054468 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.029026 
final  value 94.054485 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.822210 
final  value 94.054668 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.185848 
iter  10 value 94.043252
iter  20 value 94.038350
iter  30 value 93.948203
iter  40 value 93.689323
final  value 93.689321 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.494939 
iter  10 value 93.586441
iter  20 value 93.573860
iter  30 value 93.564760
iter  40 value 93.563863
iter  50 value 93.562832
iter  60 value 93.485976
iter  70 value 93.254289
iter  80 value 90.719125
iter  90 value 86.570557
iter 100 value 86.003705
final  value 86.003705 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 109.443748 
iter  10 value 93.693823
iter  20 value 92.447045
iter  30 value 85.607614
iter  40 value 81.125621
iter  50 value 81.122031
iter  60 value 81.121644
iter  70 value 81.119842
iter  80 value 81.117971
iter  90 value 81.117746
iter 100 value 81.010301
final  value 81.010301 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 97.733675 
iter  10 value 94.013574
iter  20 value 93.707399
iter  30 value 93.655651
iter  40 value 93.655094
iter  50 value 93.641510
final  value 93.641508 
converged
Fitting Repeat 5 

# weights:  305
initial  value 111.695204 
iter  10 value 94.057519
iter  20 value 86.474234
iter  30 value 85.981645
iter  40 value 85.877725
iter  50 value 85.877051
iter  60 value 85.874343
iter  70 value 85.125544
final  value 84.787667 
converged
Fitting Repeat 1 

# weights:  507
initial  value 99.815261 
iter  10 value 87.406976
iter  20 value 85.883013
iter  30 value 85.804209
iter  40 value 85.761798
iter  50 value 85.396506
iter  60 value 84.853118
iter  70 value 84.728606
iter  80 value 81.220389
iter  90 value 80.512298
iter 100 value 80.390559
final  value 80.390559 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 138.632665 
iter  10 value 94.047129
iter  20 value 94.039545
iter  30 value 86.322013
iter  40 value 84.285906
iter  50 value 84.265560
iter  60 value 84.260890
iter  70 value 84.260717
final  value 84.260620 
converged
Fitting Repeat 3 

# weights:  507
initial  value 110.454776 
iter  10 value 89.642522
iter  20 value 89.531953
iter  30 value 89.528244
iter  40 value 89.522345
final  value 89.521278 
converged
Fitting Repeat 4 

# weights:  507
initial  value 96.777065 
iter  10 value 94.046311
iter  20 value 93.924751
iter  30 value 85.119159
iter  40 value 81.943921
iter  50 value 79.322684
iter  60 value 78.021900
iter  70 value 77.870023
iter  80 value 77.844263
iter  90 value 77.832783
iter 100 value 77.830165
final  value 77.830165 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 109.687482 
iter  10 value 94.046207
iter  20 value 94.040621
iter  30 value 94.038341
iter  40 value 82.944913
iter  50 value 80.976291
iter  60 value 78.636152
iter  70 value 78.409378
iter  80 value 78.407980
iter  90 value 78.406839
iter 100 value 78.405732
final  value 78.405732 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 99.795363 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  103
initial  value 97.005847 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  103
initial  value 96.473810 
final  value 94.052910 
converged
Fitting Repeat 4 

# weights:  103
initial  value 100.561785 
iter  10 value 93.268315
iter  20 value 93.264669
final  value 93.264652 
converged
Fitting Repeat 5 

# weights:  103
initial  value 94.732380 
final  value 94.052910 
converged
Fitting Repeat 1 

# weights:  305
initial  value 99.179980 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  305
initial  value 107.881163 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  305
initial  value 108.626612 
iter  10 value 93.689786
iter  20 value 87.985223
final  value 87.895644 
converged
Fitting Repeat 4 

# weights:  305
initial  value 97.544948 
final  value 94.052910 
converged
Fitting Repeat 5 

# weights:  305
initial  value 99.396908 
final  value 94.022599 
converged
Fitting Repeat 1 

# weights:  507
initial  value 112.540184 
final  value 94.052910 
converged
Fitting Repeat 2 

# weights:  507
initial  value 94.458081 
final  value 94.052910 
converged
Fitting Repeat 3 

# weights:  507
initial  value 102.801260 
iter  10 value 89.368742
iter  20 value 86.268146
final  value 86.268064 
converged
Fitting Repeat 4 

# weights:  507
initial  value 114.228342 
final  value 94.052911 
converged
Fitting Repeat 5 

# weights:  507
initial  value 103.364872 
final  value 93.238538 
converged
Fitting Repeat 1 

# weights:  103
initial  value 102.598201 
iter  10 value 94.089031
iter  20 value 94.046997
iter  30 value 87.390101
iter  40 value 87.066563
iter  50 value 86.137480
iter  60 value 85.292106
iter  70 value 84.697834
iter  80 value 83.963218
iter  90 value 83.705838
iter 100 value 83.701018
final  value 83.701018 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  103
initial  value 102.428294 
iter  10 value 94.055066
iter  20 value 93.989469
iter  30 value 93.686123
iter  40 value 93.632959
iter  50 value 89.288582
iter  60 value 87.691729
iter  70 value 86.333250
iter  80 value 85.790461
iter  90 value 85.565473
iter 100 value 85.048669
final  value 85.048669 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  103
initial  value 113.461307 
iter  10 value 93.942925
iter  20 value 85.907115
iter  30 value 85.587021
iter  40 value 85.396644
iter  50 value 85.328017
iter  60 value 85.316883
final  value 85.316150 
converged
Fitting Repeat 4 

# weights:  103
initial  value 97.278531 
iter  10 value 93.400483
iter  20 value 86.564325
iter  30 value 85.818141
iter  40 value 85.329218
iter  50 value 85.324012
iter  60 value 85.321231
iter  70 value 85.316409
final  value 85.316150 
converged
Fitting Repeat 5 

# weights:  103
initial  value 97.383882 
iter  10 value 93.732071
iter  20 value 90.867620
iter  30 value 87.843072
iter  40 value 86.962034
iter  50 value 85.140268
iter  60 value 84.162007
iter  70 value 84.068251
iter  80 value 84.042856
iter  90 value 83.850597
iter 100 value 83.701017
final  value 83.701017 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  305
initial  value 111.476662 
iter  10 value 93.371718
iter  20 value 86.831719
iter  30 value 86.633424
iter  40 value 83.978420
iter  50 value 83.410723
iter  60 value 82.865811
iter  70 value 82.713446
iter  80 value 82.406499
iter  90 value 82.305547
iter 100 value 82.150551
final  value 82.150551 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  305
initial  value 105.671766 
iter  10 value 94.431588
iter  20 value 94.061924
iter  30 value 91.900945
iter  40 value 88.955485
iter  50 value 85.220163
iter  60 value 83.530631
iter  70 value 82.642362
iter  80 value 82.444147
iter  90 value 82.364348
iter 100 value 82.362757
final  value 82.362757 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  305
initial  value 106.723347 
iter  10 value 94.225142
iter  20 value 88.954115
iter  30 value 86.462590
iter  40 value 85.116083
iter  50 value 84.545658
iter  60 value 84.412825
iter  70 value 84.074057
iter  80 value 83.495101
iter  90 value 82.680517
iter 100 value 82.264459
final  value 82.264459 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  305
initial  value 138.328675 
iter  10 value 94.011947
iter  20 value 93.642951
iter  30 value 88.491328
iter  40 value 86.618408
iter  50 value 86.087594
iter  60 value 85.412621
iter  70 value 85.250581
iter  80 value 84.139243
iter  90 value 83.341207
iter 100 value 83.055695
final  value 83.055695 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  305
initial  value 100.025133 
iter  10 value 93.761398
iter  20 value 91.275207
iter  30 value 87.869706
iter  40 value 87.269160
iter  50 value 85.899053
iter  60 value 84.322475
iter  70 value 83.784983
iter  80 value 83.296135
iter  90 value 82.750934
iter 100 value 82.583055
final  value 82.583055 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  507
initial  value 106.972197 
iter  10 value 94.187573
iter  20 value 89.982227
iter  30 value 87.150414
iter  40 value 85.762052
iter  50 value 83.613651
iter  60 value 83.278905
iter  70 value 82.840303
iter  80 value 82.683634
iter  90 value 82.397815
iter 100 value 82.106747
final  value 82.106747 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 108.985239 
iter  10 value 91.164035
iter  20 value 87.397592
iter  30 value 86.409294
iter  40 value 84.817689
iter  50 value 84.619776
iter  60 value 84.497476
iter  70 value 84.041486
iter  80 value 83.651957
iter  90 value 83.574815
iter 100 value 83.236557
final  value 83.236557 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 106.466935 
iter  10 value 93.582061
iter  20 value 86.189316
iter  30 value 85.158658
iter  40 value 84.592123
iter  50 value 84.339992
iter  60 value 83.472815
iter  70 value 82.964530
iter  80 value 82.800193
iter  90 value 82.502021
iter 100 value 82.214940
final  value 82.214940 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 139.921023 
iter  10 value 94.096749
iter  20 value 93.796996
iter  30 value 91.179618
iter  40 value 87.978175
iter  50 value 85.322878
iter  60 value 84.615991
iter  70 value 83.868596
iter  80 value 83.405187
iter  90 value 82.597183
iter 100 value 82.446268
final  value 82.446268 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 125.933201 
iter  10 value 94.444658
iter  20 value 93.776044
iter  30 value 91.036668
iter  40 value 87.476078
iter  50 value 84.514659
iter  60 value 83.958652
iter  70 value 83.737805
iter  80 value 83.565046
iter  90 value 83.361466
iter 100 value 82.862003
final  value 82.862003 
stopped after 100 iterations
Fitting Repeat 1 

# weights:  103
initial  value 97.728880 
iter  10 value 93.592247
iter  20 value 93.584247
final  value 93.583341 
converged
Fitting Repeat 2 

# weights:  103
initial  value 103.440996 
final  value 94.054416 
converged
Fitting Repeat 3 

# weights:  103
initial  value 106.357828 
final  value 94.054674 
converged
Fitting Repeat 4 

# weights:  103
initial  value 104.980896 
final  value 94.054371 
converged
Fitting Repeat 5 

# weights:  103
initial  value 95.968615 
iter  10 value 87.139086
iter  20 value 85.686196
iter  30 value 85.599252
iter  40 value 85.597558
iter  50 value 85.597341
iter  60 value 85.597234
final  value 85.597232 
converged
Fitting Repeat 1 

# weights:  305
initial  value 102.710150 
iter  10 value 93.588410
iter  20 value 93.578907
iter  30 value 93.533341
iter  40 value 93.531503
final  value 93.529252 
converged
Fitting Repeat 2 

# weights:  305
initial  value 102.017302 
iter  10 value 93.587629
iter  20 value 92.916543
iter  30 value 86.937741
iter  40 value 86.108494
final  value 86.097787 
converged
Fitting Repeat 3 

# weights:  305
initial  value 95.433847 
iter  10 value 94.057596
iter  20 value 94.038186
iter  30 value 92.251661
iter  40 value 86.977098
iter  50 value 86.357617
iter  60 value 86.345169
final  value 86.345152 
converged
Fitting Repeat 4 

# weights:  305
initial  value 96.536730 
iter  10 value 93.586969
iter  20 value 93.583555
final  value 93.582683 
converged
Fitting Repeat 5 

# weights:  305
initial  value 97.585100 
iter  10 value 93.676747
iter  20 value 92.456653
iter  30 value 88.750744
iter  40 value 87.970954
iter  50 value 87.944477
final  value 87.944189 
converged
Fitting Repeat 1 

# weights:  507
initial  value 100.271080 
iter  10 value 93.591060
iter  20 value 93.588819
iter  30 value 93.587510
iter  40 value 93.582540
iter  50 value 86.837504
iter  60 value 86.777481
iter  70 value 86.765051
iter  80 value 86.707333
iter  90 value 86.704281
final  value 86.704223 
converged
Fitting Repeat 2 

# weights:  507
initial  value 146.967492 
iter  10 value 104.882721
iter  20 value 94.030043
iter  30 value 87.791516
iter  40 value 86.833754
iter  50 value 85.602686
iter  60 value 81.854160
iter  70 value 81.421833
iter  80 value 81.250577
iter  90 value 81.240301
iter 100 value 81.180710
final  value 81.180710 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 116.651880 
iter  10 value 93.591200
iter  20 value 93.583416
iter  30 value 93.437556
iter  40 value 91.870508
iter  50 value 85.818302
iter  60 value 85.064746
iter  70 value 84.842128
final  value 84.840096 
converged
Fitting Repeat 4 

# weights:  507
initial  value 97.369978 
iter  10 value 93.735471
iter  20 value 93.590728
iter  30 value 93.583430
iter  40 value 92.044266
iter  50 value 85.340201
iter  60 value 85.290875
iter  70 value 85.228101
iter  80 value 84.873635
iter  90 value 84.771502
iter 100 value 84.763554
final  value 84.763554 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 110.513378 
iter  10 value 93.590694
final  value 93.590662 
converged
Fitting Repeat 1 

# weights:  507
initial  value 127.562915 
iter  10 value 116.493718
iter  20 value 109.741687
iter  30 value 107.165588
iter  40 value 105.753560
iter  50 value 104.789056
iter  60 value 104.015014
iter  70 value 103.897788
iter  80 value 102.759514
iter  90 value 101.780006
iter 100 value 101.168889
final  value 101.168889 
stopped after 100 iterations
Fitting Repeat 2 

# weights:  507
initial  value 154.124347 
iter  10 value 120.373157
iter  20 value 111.243699
iter  30 value 109.416167
iter  40 value 107.433508
iter  50 value 106.066180
iter  60 value 105.451271
iter  70 value 104.492074
iter  80 value 102.607231
iter  90 value 101.743614
iter 100 value 101.107465
final  value 101.107465 
stopped after 100 iterations
Fitting Repeat 3 

# weights:  507
initial  value 170.111852 
iter  10 value 119.031909
iter  20 value 112.685943
iter  30 value 108.262982
iter  40 value 107.399815
iter  50 value 105.472514
iter  60 value 103.509600
iter  70 value 103.208952
iter  80 value 101.390535
iter  90 value 101.076526
iter 100 value 100.748769
final  value 100.748769 
stopped after 100 iterations
Fitting Repeat 4 

# weights:  507
initial  value 134.460977 
iter  10 value 120.459008
iter  20 value 106.309365
iter  30 value 106.106120
iter  40 value 105.447386
iter  50 value 104.972224
iter  60 value 104.042708
iter  70 value 102.116692
iter  80 value 101.264537
iter  90 value 100.761505
iter 100 value 100.598718
final  value 100.598718 
stopped after 100 iterations
Fitting Repeat 5 

# weights:  507
initial  value 130.373239 
iter  10 value 117.951012
iter  20 value 110.617004
iter  30 value 106.150830
iter  40 value 105.597938
iter  50 value 103.149072
iter  60 value 102.264493
iter  70 value 101.513761
iter  80 value 101.121350
iter  90 value 101.055748
iter 100 value 101.018890
final  value 101.018890 
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 May 31 04:42:27 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 
 43.572   1.365  45.939