A data scientist runs PROC PRINCOMP and uses the OUTSTAT= option. What information does the OUTSTAT= dataset contain?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — the OUTSTAT= dataset gives you the eigenvectors (loadings), eigenvalues, means, and standard deviations you need to score new data. It's not the scored observations; that's what OUT= gives you.
Full Explanation
The OUTSTAT= dataset contains the statistical information needed to score new data: eigenvectors (loadings), eigenvalues, means, and standard deviations. This is distinct from OUT=, which produces a dataset with principal component scores for the analysis observations. The option describing original input data augmented with principal component scores describes OUT=. The option describing percentage of variance explained in a summary table is printed output, not OUTSTAT=. The option describing original variables ranked by contribution to the first principal component is variable importance ranking, not OUTSTAT=.