ncompopt: Determine the optimal number of components to include in the...

In uwadaira/plsropt: Automatically perform partial least squares (PLS) regressions under different combinations of X-variable range and preprocessing method.

Description

The function ncompopt determines the optimal number of components to include the model.

Usage

ncompopt(x)

Arguments

x	RMSECV values calculated by the partial least squares regression

Details

If ncomp = "auto", the number of components with the minimum RMSECV is selected. If the selected n-th component with the minimum RMSECV does not improve the RMSECV by at least 2 percent, then (n-1)th compoment is selected and so forth.

Value

the optimal number of components

See Also

rowpeak

Examples

data(peach)
peach.pls <- plsr(Brix ~ NIR, ncomp = 15, data = peach, validation = "CV")
ncompopt(RMSEP(peach.pls)$val[2,,])

uwadaira/plsropt documentation built on May 3, 2019, 2:39 p.m.