wapls.weights

either an object returned by the <code>plsCv</code> function or an object as returned by the <code>opls</code> function which contains a pls model.

plsO

the original spectral <code>matrix</code> which was used for calibrating the pls model.

orgX

type of weight to be computed. The only available option (for the moment) is <code>"w1"</code>. See details on the <code>mbl</code> function where it is explained how <code>"w1"</code> is computed whitin the <code>"wapls1"</code> regression.

type

a <code>vector</code> of a new spectral sample. When "w1" is selected, newX must be specified.

newX

a <code>vector</code> of length 2 which contains both the minimum and maximum number of PLS components for which the weights must be computed.

pls.c

internal

Implementation of functions for spectral similarity/dissimilarity
analysis and memory-based learning (MBL) for non-linear modeling
in complex spectral datasets. In chemometrics MBL is also known as local modeling.

wapls.weights: Internal function for computing the weights of the PLS components necessary for weighted average PLS

Description

Usage

Arguments

Value