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