plsmod

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# plsmod

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This package is a helper package for
[parsnip](https://parsnip.tidymodels.org) 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](https://CRAN.R-project.org) with:

``` r
install.packages("plsmod")
```

And the development version from [GitHub](https://github.com/) with:

``` r
# 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](https://www.contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html).
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](https://community.rstudio.com/new-topic?category_id=15&tags=tidymodels,question).

-   If you think you have encountered a bug, please [submit an
    issue](https://github.com/tidymodels/plsmod/issues).

-   Either way, learn how to create and share a
    [reprex](https://reprex.tidyverse.org/articles/articles/learn-reprex.html)
    (a minimal, reproducible example), to clearly communicate about your
    code.

-   Check out further details on [contributing guidelines for tidymodels
    packages](https://www.tidymodels.org/contribute/) and [how to get
    help](https://www.tidymodels.org/help/).