as.matrix.regres

Returns a matrix with model performance statistics for regression results

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

as.matrix.regres function

<dl><dt>x</dt>
<dd>regression results (object of class <code>regres</code>)</dd>
<dt>ncomp</dt>
<dd>model complexity (number of components) to calculate the statistics for (can be a vector)</dd>
<dt>ny</dt>
<dd>for which response variable calculate the statistics for</dd>
<dt>...</dt>
<dd>other arguments</dd></dl>

Arguments

as.matrix method for regression results — as.matrix.regres

<dl>

<dt>x</dt>
<dd>regression results (object of class <code>regres</code>)</dd>


<dt>ncomp</dt>
<dd>model complexity (number of components) to calculate the statistics for (can be a vector)</dd>


<dt>ny</dt>
<dd>for which response variable calculate the statistics for</dd>


<dt>...</dt>
<dd>other arguments</dd>

</dl>

as.matrix.regres: as.matrix method for regression results

Description

Usage

Arguments