project_block.multiblock_projector

Projects the new data onto the subspace defined by a specific block of variables.

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

project_block.multiblock_projector function

<dl><dt>x</dt>
<dd>A <code>multiblock_projector</code> object.</dd>
<dt>new_data</dt>
<dd>The new data to be projected.</dd>
<dt>block</dt>
<dd>The block index (1-based) to project onto.</dd>
<dt>least_squares</dt>
<dd>Logical. If <code>TRUE</code> (default), use least squares projection.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code>partial_project</code>.</dd></dl>

Arguments

Project Data onto a Specific Block — project_block.multiblock_projector

<dl>

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


<dt>new_data</dt>
<dd>The new data to be projected.</dd>


<dt>block</dt>
<dd>The block index (1-based) to project onto.</dd>


<dt>least_squares</dt>
<dd>Logical. If <code>TRUE</code> (default), use least squares projection.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code>partial_project</code>.</dd>

</dl>

project_block.multiblock_projector: Project Data onto a Specific Block

Description

Usage

Value

Arguments