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
Here's the deal — you use OUT= in PROC PRINCOMP to create an output dataset with original variables plus Prin1, Prin2, ... variables for each observation's scores. The option that saves statistics and eigenvectors doesn't give you observation-level scores.
Full Explanation
OUT= is correct because PROC PRINCOMP's OUT= creates an output dataset with original variables plus Prin1, Prin2, ... variables for each observation's scores. OUTSTAT= is wrong because it saves summaries and eigenvectors, not observation scores. SCORE= is wrong because it outputs scoring coefficients, not observation-level scores. OUTEIGEN= is wrong because it is not a standard PROC PRINCOMP option.