Running examples in ‘TIGERr-Ex.R’ failed
The error most likely occurred in:

> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: run_TIGER
> ### Title: Run TIGER to eliminate technical variation
> ### Aliases: run_TIGER
> 
> ### ** Examples
> 
> ## No test: 
> data(FF4_qc) # load demo dataset
> 
> # QC as training samples; QC1, QC2 and QC3 as test samples:
> train_samples <- FF4_qc[FF4_qc$sampleType == "QC",]
> test_samples  <- FF4_qc[FF4_qc$sampleType != "QC",]
> 
> # col_sampleID includes labels. You can assign names for different samples:
> train_samples$sampleID <- "train"
> test_samples$sampleID  <- "test"
> 
> # Use default setting and
> # include injection order and well position into feature set:
> test_norm_1 <- run_TIGER(test_samples = test_samples,
+                          train_samples = train_samples,
+                          col_sampleID  = "sampleID",     # input column name
+                          col_sampleType = "sampleType",  # input column name
+                          col_batchID = "plateID",        # input column name
+                          col_order = "injectionOrder",   # input column name
+                          col_position = "wellPosition",  # input column name
+                          parallel.cores = 2)
+ Initialising...   2022-01-09 06:34:57
+ Computing target values...   2022-01-09 06:34:57
+ Selecting highly-correlated variables...   2022-01-09 06:34:57
  - Computing correlation coefficients...
  - Selecting variables...
+ Data correction started.   2022-01-09 06:34:57

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  - Merging results...
+ Completed.   2022-01-09 06:46:40
> 
> # If the information of injection order and well position is not available,
> # or you don't want to use them:
> train_data <- train_samples[-c(4:5)]  # remove the two columns
> test_data  <- test_samples[-c(4:5)]   # remove the two columns
> 
> test_norm_2 <- run_TIGER(test_samples = test_data,
+                          train_samples = train_data,
+                          col_sampleID  = "sampleID",
+                          col_sampleType = "sampleType",
+                          col_batchID = "plateID",
+                          col_order = NULL,                # set NULL
+                          col_position = NULL,             # set NULL
+                          parallel.cores = 2)
+ Initialising...   2022-01-09 06:46:40
+ Computing target values...   2022-01-09 06:46:40
+ Selecting highly-correlated variables...   2022-01-09 06:46:40
  - Computing correlation coefficients...
  - Selecting variables...
+ Data correction started.   2022-01-09 06:46:40

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  - Merging results...
+ Completed.   2022-01-09 06:57:18
> 
> # If use external target values and selected variables with
> # customised settings:
> target_val <- compute_targetVal(QC_num = train_samples[-c(1:5)],
+                                 sampleType = train_samples$sampleType,
+                                 batchID = train_samples$plateID,
+                                 targetVal_method = "median",
+                                 targetVal_batchWise = TRUE)
+ Computing target values...   2022-01-09 06:57:18
> 
> select_var <- select_variable(train_num = train_samples[-c(1:5)],
+                               test_num = test_samples[-c(1:5)],
+                               train_batchID = train_samples$plateID,
+                               test_batchID = test_samples$plateID,
+                               selectVar_corType = "pcor",
+                               selectVar_corMethod = "spearman",
+                               selectVar_minNum = 10,
+                               selectVar_maxNum = 30,
+                               selectVar_batchWise = TRUE)
+ Selecting highly-correlated variables...   2022-01-09 06:57:19
  - Current batch: P161440  (1/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161441  (2/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161442  (3/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161443  (4/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161444  (5/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in cov2cor(icvx) :
  diag(.) had 0 or NA entries; non-finite result is doubtful
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161445  (6/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161446  (7/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161447  (8/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161448  (9/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161449  (10/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161450  (11/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161451  (12/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161452  (13/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in cov2cor(icvx) :
  diag(.) had 0 or NA entries; non-finite result is doubtful
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161453  (14/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161454  (15/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in cov2cor(icvx) :
  diag(.) had 0 or NA entries; non-finite result is doubtful
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161455  (16/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161456  (17/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161457  (18/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161458  (19/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161459  (20/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161460  (21/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161461  (22/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161462  (23/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161463  (24/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161464  (25/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161465  (26/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161466  (27/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161467  (28/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
  - Current batch: P161468  (29/29)
      Computing correlation coefficients...
Warning in ppcor::pcor(train_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
Warning in ppcor::pcor(test_num_noNA, method = selectVar_corMethod) :
  The inverse of variance-covariance matrix is calculated using Moore-Penrose generalized matrix invers due to its determinant of zero.
Warning in sqrt((n - 2 - gp)/(1 - pcor^2)) : NaNs produced
Warning in pt(-abs(statistic), (n - 2 - gp)) : NaNs produced
      Selecting variables...
> 
> test_norm_3 <- run_TIGER(test_samples = test_samples,
+                          train_samples = train_samples,
+                          col_sampleID  = "sampleID",
+                          col_sampleType = "sampleType",
+                          col_batchID = "plateID",
+                          col_order = "injectionOrder",
+                          col_position = "wellPosition",
+                          targetVal_external = target_val,
+                          selectVar_external = select_var,
+                          parallel.cores = 2)
+ Initialising...   2022-01-09 06:57:20
+ External target values loaded.   2022-01-09 06:57:20
+ External selected variables loaded.   2022-01-09 06:57:20
+ Data correction started.   2022-01-09 06:57:20

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Execution halted
* checking PDF version of manual ...* using check arguments '--as-cran --no-clean-on-error '