plotpredmvr {chemometrics} | R Documentation |
Generate plot showing predicted values for Repeated Double Cross Validation
plotpredmvr(mvrdcvobj, optcomp, y, X, method = "simpls", ...)
mvrdcvobj |
object from repeated double-CV, see mvr_dcv |
optcomp |
optimal number of components |
y |
data from response variable |
X |
data with explanatory variables |
method |
the multivariate regression method to be used, see mvr |
... |
additional plot arguments |
After running repeated double-CV, this plot visualizes the predicted values.
A plot is generated.
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) plot3 <- plotpredmvr(res,opt=7,yarn$density,yarn$NIR,method="simpls")