big_pls_cox_transform: Transform new data to PLS–Cox scores
In bigPLScox: Partial Least Squares for Cox Models with Big Matrices

big_pls_cox_transform

R Documentation

Transform new data to PLS–Cox scores

Project new observations onto previously fitted PLS–Cox components.

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

`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).