Nothing
plotcompprm <-
function(prmdcvobj,...)
{
# Generate plot showing optimal number of components for
# Repeated Double Cross Validation of PRM
#
prm.dcv.optcomp <- table(prmdcvobj$optco)/sum(table(prmdcvobj$optco))
plot(names(prm.dcv.optcomp),prm.dcv.optcomp,type="b",
xlab="Number of components",ylab="Relative frequency for optimal number",
cex.lab=1.2,...)
optcomp <- as.numeric(names(which.max(prm.dcv.optcomp)))
abline(v=optcomp,lty=2)
list(optcomp=optcomp,compdistrib=prm.dcv.optcomp)
}
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