plotpredmvr: Plot predictions from repeated DCV

In chemometrics: Multivariate Statistical Analysis in Chemometrics

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

Details

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

Value

A plot is generated.

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)
plot3 <- plotpredmvr(res,opt=7,y,X,method="simpls")

chemometrics documentation built on Aug. 25, 2023, 5:18 p.m.