Model Wrappers for Projection Methods.
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.
Either way, learn how to create and share a reprex (a minimal, reproducible example), to clearly communicate about your code.
Check out further details on contributing guidelines for tidymodels packages and how to get help.