Hello! I have run a principal components analysis of various wealth indicator variables such as 'owning a radio', 'type of toilet used by household', etc with the goal of reducing the large amount of variables. I used proc factor with the PCA method which gave me 9 factors with an Eigenvalue >1. My question is, how do I go from 9 factors to one wealth indicator variable? I would also need to divide the wealth indicator variable into quintiles, indicating household wealth based on the quintile the household belongs to. I am still learning SAS, so any advice would be helpful! Here is my code for reference:   proc factor data = bedlib.prinanalysis outstat = bedlib.prinfactor simple scree corr score nfact = 9 method = principal; var PIPED_WATER UNDER_WATER OWNED_TOILET OWNED_PIT SHARED_PIT ELECT_ENERGY COAL_ENERGY WOOD_ENERGY GAS_ENERGY COWS_ MULES_ GOATS_ PIGS_ CHICKENS_ ANIMALCA_ BICYCLE_ CAR_  MOTORCYCLE_ RADIO_ ELECTRIC_ TELEVISI_ REFRIGER_ CELLPHON_ SOLARPAN_ COMPUTER_ STEREO_; run;   ... View more