Transform new data to PLS–Cox scores — big_pls_cox_transform • bigPLScox

Project new observations onto previously fitted PLS–Cox components.

Usage

big_pls_cox_transform(
  X,
  means,
  sds,
  weights,
  loadings,
  comps = seq_len(ncol(weights))
)

Arguments

X: New data: a numeric matrix or a bigmemory::big.matrix.
means: Column means used to center the original predictors.
sds: Column standard deviations used to scale the original predictors.
weights: PLS weight matrix (p x ncomp) from a fitted model.
loadings: PLS loading matrix (p x ncomp) from a fitted model.
comps: Integer vector of component indices to return (1-based).

Value

A numeric matrix of scores with one row per observation in X and one column per requested component.