Running ‘testthat.R’ [100s/100s]
Running the tests in ‘tests/testthat.R’ failed.
Complete output:
  > library(testthat)
  > library(dimRed)
  Loading required package: DRR
  Loading required package: kernlab
  Loading required package: CVST
  Loading required package: Matrix
  
  Attaching package: 'dimRed'
  
  The following object is masked from 'package:stats':
  
      embed
  
  The following object is masked from 'package:base':
  
      as.data.frame
  
  > 
  > test_check("dimRed")
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 3001.939 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 206.2319 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 878403047 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 3077.753 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 3.277543 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 0.3193029 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.4537574 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.478467 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4860918 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4879105 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.498169 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1593334 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1206968 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3213436 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.454449 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4785312 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4848744 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4856315 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4948439 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1718281 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1131687 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.3182336 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.454028 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.4784843 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4839744 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4850804 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4866434 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2257622 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1222143 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.3276251 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4559783 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.4786618 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.4829378 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.4843062 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.4847561 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.3597105 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.2230276 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.3826911 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.4663178 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.4793126 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.4822294 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.4828405 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.4831602 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.4573492 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.4107513 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.4594088 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.4775594 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.4800546 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.4812093 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.4812406 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.4810549 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.4776368 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.4717574 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.4778632 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.479932 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.4802069 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 62483.24 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 890749004 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 2116311 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 5.429485e+12 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 822859483664 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 206028256172 )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 4956.963 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 6.868725 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.241671 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.246751 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.258347 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.001095 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 1.908073 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 4.303763 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 3.065299 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 2.26927 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.240347 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.247733 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.24387 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.02991 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 1.812857 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.131376 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 2.057425 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 1.995159 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.238047 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.240518 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.245582 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 2.040723 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.77009 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.867663 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.900632 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 1.981264 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 2.233731 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 2.23884 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 2.246305 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 2.058037 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 1.798231 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 1.750553 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 1.851527 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 2.024093 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 2.230798 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 2.233433 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 2.23938 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 2.148539 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 1.981906 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 1.96845 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 2.095545 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 2.174014 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 2.227861 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 2.228182 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 2.229556 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 2.212559 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 2.177303 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 2.183586 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 2.20802 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 2.219065 )
  1. Error: quality (@test_quality.R#12) -----------------------------------------
  require 'optimx' package, install it using install.packages('optimx')
  1: suppressWarnings(resQual <- list(Q_local(resPCA), Q_global(resPCA), mean_R_NX(resPCA), 
         total_correlation(resPCA), cophenetic_correlation(resPCA), distance_correlation(resPCA), 
         reconstruction_rmse(resPCA))) at testthat/test_quality.R:12
  2: withCallingHandlers(expr, warning = function(w) invokeRestart("muffleWarning"))
  3: total_correlation(resPCA)
  4: total_correlation(resPCA)
  5: .local(object, ...)
  6: maximize_correlation(object, naxes, cor_method)
  7: maximize_correlation(object, naxes, cor_method)
  8: .local(object, ...)
  9: .maximize_correlation(object@data@data, object@org.data, 1:naxes, cor_method)
  10: chckpkg("optimx")
  11: stop(paste0("require '", pkg, "' package, install it using install.packages('", pkg, 
         "')"))
  
  predictors:  PC1 PC2 PC3 dependent:  PC4 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 219741906883 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 185.8848 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 8.990559 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 0.1049052 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367119 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack dgecon(): system computationally singular, reciprocal condition number = 0
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02642749 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02563778 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.03387899 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.04027207 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02382399 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02372198 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367448 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.02367483 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02535394 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02775039 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02597031 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02672746 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.023429 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02370849 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.0236745 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.02367484 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02437923 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02575652 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02492794 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02361172 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02347406 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02370278 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367465 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.02367493 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.02405596 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.02439346 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.02454615 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.0226655 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.02326653 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.02368522 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367529 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.02367546 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.0238912 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.02395615 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02405784 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.02345193 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.02357029 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367653 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367602 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.02367605 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373601 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.02373952 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02374102 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.02364648 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.02366279 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.0236762 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367617 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.02367618 )
  predictors:  PC1 PC2 dependent:  PC3 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 13700.73 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 27405.42 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 60713752351 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 8.164444e+14 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 0.08284767 )
  Error in solve(Matrix(K + diag(lambda, N))) : 
    Lapack routine dsytrf returned error code 11
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( 0.07504068 )
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( 0.07548114 )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08689158 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.08691688 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1029879 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1403544 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07328279 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07380055 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07504279 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.07548306 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08612543 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08441582 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08764833 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08970315 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.08127492 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07385021 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07506121 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.07550018 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08369879 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08599973 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.08082653 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07885455 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07183562 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07393502 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07524735 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.07565807 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.08195006 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.08360043 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.08268092 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.0751555 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.07436048 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.0753863 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07626579 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.07651293 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.08073309 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.08121983 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.08215017 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.07797433 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.07654804 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.0772227 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07741497 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.07746377 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.07855484 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.0785799 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07858155 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.07781039 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.07755062 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.07763627 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07765804 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.07766344 )
  predictors:  PC1 dependent:  PC2 
  sigma=0.001 kernel=rbfdot lambda=0 nblocks=4 ( 234057.2 )
  sigma=0.01 kernel=rbfdot lambda=0 nblocks=4 ( 106676.4 )
  sigma=0.1 kernel=rbfdot lambda=0 nblocks=4 ( 72325274 )
  sigma=1 kernel=rbfdot lambda=0 nblocks=4 ( 31865028492 )
  sigma=10 kernel=rbfdot lambda=0 nblocks=4 ( 4740648024 )
  sigma=100 kernel=rbfdot lambda=0 nblocks=4 ( 2724.891 )
  Error in .local(a, b, ...) : 
    cs_lu(A) failed: near-singular A (or out of memory)
  sigma=1000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  Error in LU.dgC(a) : cs_lu(A) failed: near-singular A (or out of memory)
  Error in .local(a, b, ...) : 
    cs_lu(A) failed: near-singular A (or out of memory)
  sigma=10000 kernel=rbfdot lambda=0 nblocks=4 ( NA )
  sigma=0.001 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2343578 )
  sigma=0.01 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1897354 )
  sigma=0.1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1654097 )
  sigma=1 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.1793256 )
  sigma=10 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.4656742 )
  sigma=100 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.3933097 )
  sigma=1000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2134135 )
  sigma=10000 kernel=rbfdot lambda=0.001 nblocks=4 ( 0.2222007 )
  sigma=0.001 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2820179 )
  sigma=0.01 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1927837 )
  sigma=0.1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1777516 )
  sigma=1 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.152681 )
  sigma=10 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.1557613 )
  sigma=100 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2006923 )
  sigma=1000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2196152 )
  sigma=10000 kernel=rbfdot lambda=0.01 nblocks=4 ( 0.2239271 )
  sigma=0.001 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2771497 )
  sigma=0.01 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.23627 )
  sigma=0.1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1865174 )
  sigma=1 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.1354106 )
  sigma=10 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.148198 )
  sigma=100 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2021064 )
  sigma=1000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2191684 )
  sigma=10000 kernel=rbfdot lambda=0.1 nblocks=4 ( 0.2231163 )
  sigma=0.001 kernel=rbfdot lambda=1 nblocks=4 ( 0.2616883 )
  sigma=0.01 kernel=rbfdot lambda=1 nblocks=4 ( 0.2679906 )
  sigma=0.1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1907075 )
  sigma=1 kernel=rbfdot lambda=1 nblocks=4 ( 0.1638673 )
  sigma=10 kernel=rbfdot lambda=1 nblocks=4 ( 0.1715627 )
  sigma=100 kernel=rbfdot lambda=1 nblocks=4 ( 0.2024498 )
  sigma=1000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2225091 )
  sigma=10000 kernel=rbfdot lambda=1 nblocks=4 ( 0.2313705 )
  sigma=0.001 kernel=rbfdot lambda=10 nblocks=4 ( 0.2534469 )
  sigma=0.01 kernel=rbfdot lambda=10 nblocks=4 ( 0.2556395 )
  sigma=0.1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2327879 )
  sigma=1 kernel=rbfdot lambda=10 nblocks=4 ( 0.2075538 )
  sigma=10 kernel=rbfdot lambda=10 nblocks=4 ( 0.2184821 )
  sigma=100 kernel=rbfdot lambda=10 nblocks=4 ( 0.2296155 )
  sigma=1000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2364911 )
  sigma=10000 kernel=rbfdot lambda=10 nblocks=4 ( 0.2390474 )
  sigma=0.001 kernel=rbfdot lambda=100 nblocks=4 ( 0.2445289 )
  sigma=0.01 kernel=rbfdot lambda=100 nblocks=4 ( 0.2446121 )
  sigma=0.1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2409602 )
  sigma=1 kernel=rbfdot lambda=100 nblocks=4 ( 0.2356789 )
  sigma=10 kernel=rbfdot lambda=100 nblocks=4 ( 0.2379755 )
  sigma=100 kernel=rbfdot lambda=100 nblocks=4 ( 0.2396447 )
  sigma=1000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2405227 )
  sigma=10000 kernel=rbfdot lambda=100 nblocks=4 ( 0.2408276 )
  testthat results ================================================================
  OK: 108 SKIPPED: 0 FAILED: 1
  1. Error: quality (@test_quality.R#12) 
  
  Error: testthat unit tests failed
  Execution halted