plotcompmvr {chemometrics} | R Documentation

## 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 <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

    require(pls)
    data(yarn)
    res <- mvr_dcv(density~NIR,ncomp=10,data=yarn,method="simpls",repl=10)
    plot2 <- plotcompmvr(res)

[Package chemometrics version 0.6 Index]