For PLS does my Response (Y) need to be Normal? I’m wondering whether I need to use my transformed Y or is it OK to use the measured data with no transformation? Thanks.
No need to be normal and no need transformation .
PLS is totally different algorithm with Least Square algorithm .
No need to be normal and no need transformation .
PLS is totally different algorithm with Least Square algorithm .
But on the other hand, the Y variable cannot be binary or categorical, PLS doesn't work well that way (although I have done it).
Yes. It is true. SAS will do it for you . you don't need to do anything.
" be centered and scaled" is a part of PLS algorithm .
@Daisy2 wrote:
Thanks, I see that my X's need to be centered and scaled - is that right? If so, how do I do that?
They don't "need to be" scaled, but that's usually the way PLS is run. However, there are valid reasons why you might not want to scale the x-variables in some scenarios. So PROC PLS gives you the choice of using scaling, which is the default, or not scaling, which is the NOSCALE option.
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.