PredictPLS: Partial Least Squares predictions

In sharp: Stability-enHanced Approaches using Resampling Procedures

Partial Least Squares predictions

Description

Computes predicted values from a Partial Least Squares (PLS) model in regression mode applied on xdata. This function is using the algorithm implemented in predict.pls.

Usage

PredictPLS(xdata, model)

Arguments

xdata	matrix of predictors with observations as rows and variables as columns.
model	output of PLS.

Value

An array of predicted values.

See Also

PLS

Examples

if (requireNamespace("mixOmics", quietly = TRUE)) {
  # Data simulation
  set.seed(1)
  simul <- SimulateRegression(n = 100, pk = c(5, 5, 5), family = "gaussian")
  x <- simul$xdata
  y <- simul$ydata

  # PLS
  mypls <- PLS(xdata = x, ydata = y, ncomp = 3)

  # Predicted values
  predicted <- PredictPLS(xdata = x, model = mypls)
}

sharp documentation built on April 11, 2025, 5:44 p.m.