pls_fit | R Documentation |

Based on arguments, this wrapper routes the data and arguments to the four
`pls`

functions that are sparse/dense or regression/classification.

pls_fit(x, y, ncomp = NULL, predictor_prop = 1, ...)

`x` |
A data frame or matrix of predictors. |

`y` |
For classification, a factor. For regression, a matrix, vector, or data frame. |

`ncomp` |
The number of PLS components. If left NULL, the maximum possible is used. |

`predictor_prop` |
The maximum proportion of original predictors that can
have |

A model object generated by `mixOmics::pls()`

, `mixOmics::plsda()`

,
`mixOmics::spls()`

, or `mixOmics::splsda()`

.

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.