reconstruct.pca

Reconstructs the original (centered) data matrix from the PCA scores and loadings.

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

reconstruct.pca function

<dl><dt>x</dt>
<dd>A <code>pca</code> object.</dd>
<dt>comp</dt>
<dd>Integer vector specifying which components to use for reconstruction (default: all components in <code>x</code>).</dd>
<dt>...</dt>
<dd>Extra arguments (ignored).</dd></dl>

Arguments

Reconstruct Data from PCA Results — reconstruct.pca

<dl>

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


<dt>comp</dt>
<dd>Integer vector specifying which components to use for reconstruction (default: all components in <code>x</code>).</dd>


<dt>...</dt>
<dd>Extra arguments (ignored).</dd>

</dl>

reconstruct.pca: Reconstruct Data from PCA Results

Description

Usage

Value

Arguments