compose_projector

Combine two projector models into a single projector by sequentially applying the first projector and then the second projector.

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

compose_projector function

<dl><dt>x</dt>
<dd>A fitted model object (e.g., <code>projector</code>) that has been fit to a dataset and will be applied first in the composition.</dd>
<dt>y</dt>
<dd>A second fitted model object (e.g., <code>projector</code>) that has been fit to a dataset and will be applied after the first projector.</dd>
<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>compose_projector</code>.</dd></dl>

Arguments

Compose Two Projectors — compose_projector

<dl>

<dt>x</dt>
<dd>A fitted model object (e.g., <code>projector</code>) that has been fit to a dataset and will be applied first in the composition.</dd>


<dt>y</dt>
<dd>A second fitted model object (e.g., <code>projector</code>) that has been fit to a dataset and will be applied after the first projector.</dd>


<dt>...</dt>
<dd>Additional arguments to be passed to the specific model implementation of <code>compose_projector</code>.</dd>

</dl>

compose_projector: Compose Two Projectors

Description

Usage

Value

Arguments