Model predictions across many sub-models

Usage

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

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

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

# S3 method for `_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.