FPCASCORE Procedure

PROC FPCASCORE Features

PROC FPCASCORE has the following features:

  • reads input data in parallel when the data source is on a distributed system

  • is multithreaded when you are calculating FPCA scores for new functional curves

  • supports large-scale dense and regularly sampled functional data for scoring

  • enables you to compute functional principal component scores for new functional curves

  • enables you to analyze selected curves in the new functional data

Last updated: August 06, 2026