The method compares score and orthogonal distances of PCA results from res
with
critical limits computed for the PCA model and categorizes the corresponding objects as
"regular", "extreme" or "outlier".
# S3 method for pca
categorize(obj, res = obj$res$cal, ncomp = obj$ncomp.selected, ...)
vector (factor) with results of categorization.
object with PCA model
object with PCA results
number of components to use for the categorization
other parameters
The method does not categorize hidden values if any.