Model Wrappers for Projection Methods

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) ).

plsmod

This package is a helper package for parsnip that enables linear projection models (such as partial least squares, PLS) in the tidymodels infrastructure.

Installation

You can install the released version of plsmod from CRAN with:

install.packages("plsmod")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("tidymodels/plsmod")

Available Engines

The plsmod package provides engines for the models in the following table.

model	engine	mode
pls	mixOmics	classification
pls	mixOmics	regression

Contributing

This project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

For questions and discussions about tidymodels packages, modeling, and machine learning, please post on RStudio Community.
If you think you have encountered a bug, please submit an issue.
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Check out further details on contributing guidelines for tidymodels packages and how to get help.