predict.plsRmultiModel: Predict method for experimental plsRmulti models

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Predict method for experimental plsRmulti models

Description

Prediction method for "plsRmultiModel" objects.

Usage

## S3 method for class 'plsRmultiModel'
predict(
  object,
  newdata,
  comps = object$computed_nt,
  type = c("response", "scores"),
  verbose = TRUE,
  ...
)

Arguments

object	An object of class "plsRmultiModel".
newdata	Optional predictor matrix or data frame. For formula-fitted models, a data frame with the predictor variables used at fit time.
comps	Number of extracted components to use.
type	Either "response" or "scores".
verbose	Should informational messages be displayed?
...	Not used.

Value

If type = "response", a matrix of predicted responses. If type = "scores", a matrix of latent score coordinates.

See Also

plsRmulti

Examples

set.seed(123)
X <- matrix(rnorm(40 * 3), ncol = 3)
Y <- cbind(
  y1 = X[, 1] + rnorm(40, sd = 0.1),
  y2 = X[, 2] - X[, 3] + rnorm(40, sd = 0.1)
)
fit <- plsRmulti(Y, X, nt = 2, verbose = FALSE)

predict(fit, type = "response")
predict(fit, type = "scores")

plsRglm documentation built on June 17, 2026, 5:06 p.m.