print.pca

Provide a color-enhanced summary of the PCA object, including
dimensions, variance explained, and a quick component breakdown.

Provides a set of basic and extensible data structures and functions for multivariate analysis, including dimensionality reduction techniques, projection methods, and preprocessing functions. The aim of this package is to offer a flexible and user-friendly framework for multivariate analysis that can be easily extended for custom requirements and specific data analysis tasks.

Bradley Buchsbaum

multivarious

Extensible Data Structures for Multivariate Analysis

print.pca function

<dl><dt>x</dt>
<dd>A <code>pca</code> object.</dd>
<dt>...</dt>
<dd>Ignored (for compatibility).</dd></dl>

Arguments

Print Method for PCA Objects — print.pca

<dl>

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


<dt>...</dt>
<dd>Ignored (for compatibility).</dd>

</dl>

print.pca: Print Method for PCA Objects

Description

Usage

Arguments