plotcompmvr {chemometrics}

Component plot for repeated DCV

Description

Generate plot showing optimal number of components for Repeated Double Cross-Validation

Usage

plotcompmvr(mvrdcvobj, ...)

Arguments

mvrdcvobj

object from repeated double-CV, see mvr_dcv

...

additional plot arguments

Details

After running repeated double-CV, this plot helps to decide on the final number of components.

Value

optcomp

optimal number of components

compdistrib

frequencies for the optimal number of components

Author(s)

Peter Filzmoser <[e-mail]>

References

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

See Also

mvr

Examples

data(NIR)
X <- NIR$xNIR[1:30,]      # first 30 observations - for illustration
y <- NIR$yGlcEtOH[1:30,1] # only variable Glucose
NIR.Glc <- data.frame(X=X, y=y)
res <- mvr_dcv(y~.,data=NIR.Glc,ncomp=10,method="simpls",repl=10)
plot2 <- plotcompmvr(res)