pls_fit

A data frame or matrix of predictors.

For classification, a factor. For regression, a matrix, vector, or
data frame.

The number of PLS components. If left null, the maximum possible
is used.

ncomp

The number of non-zero loadings per component. If the value is
a vector, the value is left as-is. Otherwise, the scalar is expanded to be
the same for all components. If NULL, either <code><a rd-options="mixOmics:pls" href="/link/mixOmics%3A%3Apls()?package=plsmod&version=0.0.1&to=mixOmics%3Apls" data-mini-rdoc="mixOmics:pls::mixOmics::pls()">mixOmics::pls()</a></code> or
<code><a rd-options="mixOmics:plsda" href="/link/mixOmics%3A%3Aplsda()?package=plsmod&version=0.0.1&to=mixOmics%3Aplsda" data-mini-rdoc="mixOmics:plsda::mixOmics::plsda()">mixOmics::plsda()</a></code> are used. Otherwise, their sparse analogs are used.

keepX

Based on arguments, this wrapper routes the data and arguments to the four
<code>pls</code> functions that are sparse/dense or regression/classification.

internal

Bindings for additional regression models for use
with the 'parsnip' package, including ordinary and spare partial least
squares models for regression and classification (Rohart et al (2017)
<doi:10.1371/journal.pcbi.1005752>).

Max Kuhn

plsmod

Model Wrappers for Projection Methods

RStudio 

pls_fit function

The number of non-zero loadings per component. If the value is
a vector, the value is left as-is. Otherwise, the scalar is expanded to be
the same for all components. If NULL, either <code><a rd-options='mixOmics:pls' href='mixOmics::pls()'>mixOmics::pls()</a></code> or
<code><a rd-options='mixOmics:plsda' href='mixOmics::plsda()'>mixOmics::plsda()</a></code> are used. Otherwise, their sparse analogs are used.

pls_fit: Wrapper for mixOmics pls functions

Description

Usage

Arguments

Value