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micromass · ‎01-24-2018

Thanks a lot! I read about passive observations and I tried it before. But the PRINQUAL procedure ran as long as with the additional data. I think I'm doing something wrong. Could you perhaps give some very short sample code on how to do this?

micromass · ‎01-22-2018

Hello, I am using PROC PRINQUAL to do some analysis on a big database of variables. Now, since PROC PRINQUAL takes a lot of time to run on the total dataset, I have selected at random 50000 observations to run the procedure on. This generates very good output, in terms of transformations and scores. But now I also need to generate the transformations and the scores for the observations not taken into account in the PROC PRINQUAL. Now, if I was doing a usual PCA, this would be simple: there is an easy formula Y_i = c_1 X_1 + ... + c_n X_n And I could easily compute this with PROC SCORE. But since my variables now have undergone a transformation, it is not clear to me what the corresponding formula would be. Is there any way to get this formula from SAS, or to apply the PRINQUAL formula to the new observations?

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Date Last Visited	‎01-25-2018 05:29 AM

Re: Export PROC PRINQUAL data

Export PROC PRINQUAL data

Re: Export PROC PRINQUAL data

Export PROC PRINQUAL data