pls.cal

Calibrates (builds) a PLS model for given data and parameters

Projection based methods for preprocessing, exploring and analysis of multivariate data used in chemometrics. S. Kucheryavskiy (2020) <doi:10.1016/j.chemolab.2020.103937>.

Sergey Kucheryavskiy

mdatools

Multivariate Data Analysis for Chemometrics

pls.cal function

<dl><dt>x</dt>
<dd>a matrix with x values (predictors)</dd>
<dt>y</dt>
<dd>a matrix with y values (responses)</dd>
<dt>ncomp</dt>
<dd>number of components to calculate</dd>
<dt>center</dt>
<dd>logical, do mean centering or not</dd>
<dt>scale</dt>
<dd>logical, do standardization or not</dd>
<dt>method</dt>
<dd>algorithm for computing PLS model (only 'simpls' is supported so far)</dd>
<dt>cv</dt>
<dd>logical, is model calibrated during cross-validation or not (or cv settings for calibration)</dd></dl>

Arguments

PLS model calibration — pls.cal

<dl>

<dt>x</dt>
<dd>a matrix with x values (predictors)</dd>


<dt>y</dt>
<dd>a matrix with y values (responses)</dd>


<dt>ncomp</dt>
<dd>number of components to calculate</dd>


<dt>center</dt>
<dd>logical, do mean centering or not</dd>


<dt>scale</dt>
<dd>logical, do standardization or not</dd>


<dt>method</dt>
<dd>algorithm for computing PLS model (only 'simpls' is supported so far)</dd>


<dt>cv</dt>
<dd>logical, is model calibrated during cross-validation or not (or cv settings for calibration)</dd>

</dl>

pls.cal: PLS model calibration

Description

Usage

Value

Arguments