print.apd_pca

Print number of predictors and principal components used.

A modeling package compiling applicability domain methods in
R. It combines different methods to measure the amount of
extrapolation new samples can have from the training set. See Gadaleta et
al (2016) <doi:10.4018/IJQSPR.2016010102> for an overview of
applicability domains.

Marly Gotti

applicable

A Compilation of Applicability Domain Methods

Max Kuhn

RStudio 

print.apd_pca function

<dl><dt>x</dt>
<dd>A <code>apd_pca</code> object.</dd>
<dt>...</dt>
<dd>Not currently used, but required for extensibility.</dd></dl>

Arguments

Print number of predictors and principal components used. — print.apd_pca

<dl>

<dt>x</dt>
<dd>A <code>apd_pca</code> object.</dd>


<dt>...</dt>
<dd>Not currently used, but required for extensibility.</dd>

</dl>

print.apd_pca: Print number of predictors and principal components used.

Description

Usage

Value

Arguments

Examples