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.
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For questions and discussions about tidymodels packages, modeling, and machine learning, please post on RStudio Community.
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If you think you have encountered a bug, please submit an issue.
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Either way, learn how to create and share a reprex (a minimal, reproducible example), to clearly communicate about your code.
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Check out further details on contributing guidelines for tidymodels packages and how to get help.