ipls.backward

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

ipls.backward function

<dl><dt>x</dt>
<dd>a matrix with predictor values.</dd>
<dt>y</dt>
<dd>a vector with response values.</dd>
<dt>obj</dt>
<dd>object with initial settings for iPLS algorithm.</dd>
<dt>int.stat</dt>
<dd>data frame with initial interval statistics.</dd>
<dt>glob.stat</dt>
<dd>data frame with initial global statistics.</dd>
<dt>full</dt>
<dd>logical, if TRUE the procedure will continue even if no improvements is observed.</dd></dl>

Arguments

Runs the backward iPLS algorithm — ipls.backward

<dl>

<dt>x</dt>
<dd>a matrix with predictor values.</dd>


<dt>y</dt>
<dd>a vector with response values.</dd>


<dt>obj</dt>
<dd>object with initial settings for iPLS algorithm.</dd>


<dt>int.stat</dt>
<dd>data frame with initial interval statistics.</dd>


<dt>glob.stat</dt>
<dd>data frame with initial global statistics.</dd>


<dt>full</dt>
<dd>logical, if TRUE the procedure will continue even if no improvements is observed.</dd>

</dl>

ipls.backward: Runs the backward iPLS algorithm

Description

Usage

Arguments