A variety of descriptive multivariate analyses with the singular value decomposition,
such as principal components analysis, correspondence analysis, and multidimensional scaling.
See An ExPosition of the Singular Value Decomposition in R (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Exploratory Analysis with the Singular Value Decomposition

package-ubuntu-20.04-r-4.0.5#cran#ExPosition-2.8.23

<p>Print Principal Components Analysis (PCA) results.
</p>

## S3 method for class 'epPCA'
print(x,...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>an list that contains items to make into the epPCA class.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>inherited/passed arguments for S3 print method(s).</p>
</td>
</tr>
</table>

<p>Derek Beaton and Cherise Chin-Fatt</p>

package-ubuntu-20.04-r-4.0.5#cran#ExPosition-2.8.23#docs#print.epPCA

print.epPCA

Description

Usage

Arguments

Author(s)

ExPosition

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`x`	an list that contains items to make into the epPCA class.
`...`	inherited/passed arguments for S3 print method(s).