predict.sdim_spca: Project new data onto estimated sPCA factor loadings

In sdim: An R Package for Supervised Dimension Reduction

Project new data onto estimated sPCA factor loadings

Description

Standardizes newdata using the training column means and standard deviations, scales by the estimated (possibly winsorized) regression slopes, and projects onto the sPCA loadings.

Usage

## S3 method for class 'sdim_spca'
predict(object, newdata, ...)

Arguments

object	An object of class "sdim_spca".
newdata	A numeric matrix or data frame with the same number of columns as the original predictor matrix.
...	Additional arguments (currently ignored).

Value

A numeric matrix of projected factors with nrow(newdata) rows and ncol(object$factors) columns.

sdim documentation built on July 15, 2026, 1:10 a.m.