plotSelection.ipls {mdatools} | R Documentation |
Shows PLS performance for each selected or excluded intervals at the first iteration.
## S3 method for class 'ipls' plotSelection( obj, glob.ncomp = obj$gm$ncomp.selected, main = "iPLS results", xlab = obj$xaxis.name, ylab = if (is.null(obj$cv)) "RMSEP" else "RMSECV", xlim = NULL, ylim = NULL, ... )
obj |
iPLS results (object of class ipls). |
glob.ncomp |
number of components for global PLS model with all intervals. |
main |
main title for the plot. |
xlab |
label for x-axis. |
ylab |
label for y-axis. |
xlim |
limits for x-axis. |
ylim |
limits for y-axis. |
... |
other arguments. |
The plot shows intervals as bars, which height corresponds to RMSECV obtained when particular interval was selected (forward) or excluded (backward) from a model at the first iteration. The intervals found optimal after backward/forward iPLS selection are shown with green color while the other intervals are gray.
See examples in help for ipls
function.
@seealso
summary.ipls
, plotRMSE.ipls