pls_fit: Wrapper for mixOmics pls functions

In plsmod: Model Wrappers for Projection Methods

Wrapper for mixOmics pls functions

Description

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

Usage

pls_fit(x, y, ncomp = NULL, predictor_prop = 1, ...)

Arguments

x	A data frame or matrix of predictors.
y	For classification, a factor. For regression, a matrix, vector, or data frame.
ncomp	The number of PLS components. If left NULL, the maximum possible is used.
predictor_prop	The maximum proportion of original predictors that can have non-zero coefficients for each PLS component (via regularization). This value is used for all PLS components for X.

Value

A model object generated by mixOmics::pls(), mixOmics::plsda(), mixOmics::spls(), or mixOmics::splsda().

plsmod documentation built on Sept. 7, 2022, 1:05 a.m.