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This package is a helper package for parsnip that enables linear projection models (such as partial least squares, PLS) in the tidymodels infrastructure.
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")The plsmod package provides engines for the models in the following table.
| model | engine | mode |
|---|---|---|
| pls | mixOmics | classification |
| pls | mixOmics | regression |
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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.