summary.cv.plsRmultiModel: Summary method for experimental multivariate PLS2 CV models

In plsRglm: Partial Least Squares Regression for Generalized Linear Models

Summary method for experimental multivariate PLS2 CV models

Description

Summarizes repeated k-fold cross-validation results from cv.plsRmulti.

Usage

## S3 method for class 'cv.plsRmultiModel'
summary(object, verbose = TRUE, ...)

Arguments

object	An object of class "cv.plsRmultiModel".
verbose	Should progress information be displayed?
...	Further arguments passed to methods.

Details

The returned object inherits from "summary.cv.plsRmodel" so that cvtable and the existing plot method can be reused for the aggregated multivariate criteria.

Value

A list of per-partition summary matrices with the same aggregate columns used by summary.cv.plsRmodel for Q2, PRESS, and RSS, plus response-specific PRESS, RSS, Q2, and R2 columns.

See Also

cv.plsRmulti, cvtable

Examples

set.seed(123)
X <- matrix(rnorm(60 * 4), ncol = 4)
Y <- cbind(
  y1 = X[, 1] - 0.5 * X[, 2] + rnorm(60, sd = 0.1),
  y2 = 0.3 * X[, 2] + X[, 3] + rnorm(60, sd = 0.1)
)

cv_fit <- cv.plsRmulti(Y, X, nt = 2, K = 3, NK = 1, verbose = FALSE)
summary(cv_fit, verbose = FALSE)

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