partial_inverse_projection.regress

This function computes a sub-block inversion of the regression coefficients,
allowing you to focus on only certain columns (e.g. partial factors).
If your coefficient matrix is not orthonormal or is not square, we use a
pseudoinverse approach (via <code>corpcor::pseudoinverse</code>) to find a minimal-norm
solution.

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

partial_inverse_projection.regress function

<dl><dt>x</dt>
<dd>A <code>regress</code> object (created by <code>regress</code>).</dd>
<dt>colind</dt>
<dd>A numeric vector specifying which columns of the factor space
(i.e., the second dimension of <code>x$coefficients</code>) you want to invert.
Typically these refer to a subset of canonical / PCA / PLS components.</dd>
<dt>...</dt>
<dd>Further arguments passed to or used by methods (not used here).</dd></dl>

Arguments

Partial Inverse Projection for a regress Object — partial_inverse_projection.regress

<dl>

<dt>x</dt>
<dd>A <code>regress</code> object (created by <code>regress</code>).</dd>


<dt>colind</dt>
<dd>A numeric vector specifying which columns of the factor space
(i.e., the second dimension of <code>x$coefficients</code>) you want to invert.
Typically these refer to a subset of canonical / PCA / PLS components.</dd>


<dt>...</dt>
<dd>Further arguments passed to or used by methods (not used here).</dd>

</dl>

partial_inverse_projection.regress: Partial Inverse Projection for a `regress` Object

Description

Usage

Value

Arguments