plotcompmvr {chemometrics} | R Documentation |
Generate plot showing optimal number of components for Repeated Double Cross-Validation
plotcompmvr(mvrdcvobj, ...)
mvrdcvobj |
object from repeated double-CV, see mvr_dcv |
... |
additional plot arguments |
After running repeated double-CV, this plot helps to decide on the final number of components.
optcomp |
optimal number of components |
compdistrib |
frequencies for the optimal number of components |
Peter Filzmoser <P.Filzmoser@tuwien.ac.at>
K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press. To appear.
require(pls) data(yarn) res <- mvr_dcv(density~NIR,ncomp=10,data=yarn,method="simpls",repl=10) plot2 <- plotcompmvr(res)