Calculating xhat with ncomp=1 now works
(#2).
nipals() now returns center and
scale in the fitted model object, which makes it easier to
get predictions from the model (#1).
New (experimental) function empca() to calculate
principal components via weighted EM PCA.
Row/column names added to fitted matrix.
Row/column names added to fitted matrix.
New startcol argument can now be a function which is
applied to every column.
There is a slight change to automatic start column selection. By default, the start column is the column with the largest sum of absolute values. (Formerly, the start column was the column with the largest variance, but this does not make sense when columns are scaled.)
nipals() function was split off from the
gge package, extensively optimized and compared with
implementations in other packages.