print.regress

Display a human-readable summary of a <code>regress</code> object using crayon formatting,
including information about the method and dimensions.

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.regress function

<dl><dt>x</dt>
<dd>A <code>regress</code> object (a bi_projector with regression info).</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/print()?package=multivarious&version=0.3.1" data-mini-rdoc="multivarious::print()">print()</a></code>.</dd></dl>

Arguments

Pretty Print Method for regress Objects — print.regress

<dl>

<dt>x</dt>
<dd>A <code>regress</code> object (a bi_projector with regression info).</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/r/base/print.html'>print()</a></code>.</dd>

</dl>

print.regress: Pretty Print Method for `regress` Objects

Description

Usage

Arguments