chemometrics (version 0.5)

plotpredmvr: Plot predictions from repeated DCV

Description

Generate plot showing predicted values for Repeated Double Cross Validation

Usage

plotpredmvr(mvrdcvobj, optcomp, y, X, method = "simpls", ...)

Arguments

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

Value

• A plot is generated.

Details

After running repeated double-CV, this plot visualizes the predicted values.

References

K. Varmuza and P. Filzmoser: Introduction to Multivariate Statistical Analysis in Chemometrics. CRC Press, Boca Raton, FL, 2009.

See Also

mvr

Examples

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")