Which PROC PRINCOMP option saves the principal component scores for each observation to a SAS dataset?
Select an answer to reveal the explanation.
Short Explanation and Infographic
Here's the deal — b is correct because OUT= in PROC PRINCOMP creates an output dataset containing all original variables plus new variables (Prin1, Prin2, ...) representing each observation's principal component scores. A (OUTSTAT=) saves statistical summaries including eigenvectors.
Full explanation below image
Full Explanation
B is correct because OUT= in PROC PRINCOMP creates an output dataset containing all original variables plus new variables (Prin1, Prin2, ...) representing each observation's principal component scores. A (OUTSTAT=) saves statistical summaries including eigenvectors. C describes the scoring matrix output, not observation-level scores. D (OUTEIGEN=) is not a standard PROC PRINCOMP option.