R: Plot residuals from repeated DCV

plotresmvr {chemometrics} | R Documentation

## Plot residuals from repeated DCV

### Description

Generate plot showing residuals for Repeated Double Cross Validation

### Usage

    plotresmvr(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 residuals.

### Value

A plot is generated.

### Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

### 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)
    plot4 <- plotresmvr(res,opt=7,y,X,method="simpls")

[Package chemometrics version 1.4.2 Index]