Package 'plsmod'

Title: Model Wrappers for Projection Methods
Description: Bindings for additional regression models for use with the 'parsnip' package, including ordinary and spare partial least squares models for regression and classification (Rohart et al (2017) <doi:10.1371/journal.pcbi.1005752>).
Authors: Max Kuhn [aut, cre] , Posit Software, PBC [cph, fnd]
Maintainer: Max Kuhn <[email protected]>
License: MIT + file LICENSE
Version: 1.0.0.9000
Built: 2024-11-15 06:19:54 UTC
Source: https://github.com/tidymodels/plsmod

Help Index

Model predictions across many sub-models

Description

Model predictions across many sub-models

Usage

## S3 method for class ''_mixo_pls''
multi_predict(object, new_data, num_comp = NULL, type = NULL, ...)

## S3 method for class ''_mixo_spls''
multi_predict(object, new_data, num_comp = NULL, type = NULL, ...)

## S3 method for class ''_mixo_plsda''
multi_predict(object, new_data, num_comp = NULL, type = NULL, ...)

## S3 method for class ''_mixo_splsda''
multi_predict(object, new_data, num_comp = NULL, type = NULL, ...)

Arguments

object

An object of class model_fit
new_data

A rectangular data object, such as a data frame.
num_comp

An integer vector for the number of PLS terms to retain.
type

A single character value or NULL. Possible values are "numeric", "class", or "prob". When NULL, predict() will choose an appropriate value based on the model's mode.
...

Not currently used.

Tidy methods for pls and spls objects

Description

Tidy methods for pls and spls objects

Usage

## S3 method for class 'mixo_pls'
tidy(x, ...)

## S3 method for class 'mixo_spls'
tidy(x, ...)

Arguments

x

An object with class mixo_pls or mixo_spls.
...

Not currently used.

Value

A tibble with columns terms (the predictor names), value (the loadings), type (either "predictors" or "outcomes"), and component (the component number).