pcvreg {pcv}

Procrustes cross-validation for multivariate regression models

Description

This is a generic method, use 'pcvpls()' or 'pcvpcr()' instead.

Usage

pcvreg(
  X,
  Y,
  ncomp = min(nrow(X) - 1, ncol(X), 30),
  cv = list("ven", 4),
  center = TRUE,
  scale = FALSE,
  funlist = list(),
  cv.scope = "global"
)

Arguments

X

matrix with predictors from the training set.

Y

vector with response values from the training set.

ncomp

number of components to use (more than the expected optimal number).

cv

which split method to use for cross-validation (see description of method 'pcvpls()' for details).

center

logical, to center or not the data sets

scale

logical, to scale or not the data sets

funlist

list with functions for particular implementation

cv.scope

scope for center/scale operations inside CV loop: 'global' — using globally computed mean and std or 'local' — recompute new for each local calibration set.