Requesting guidance for Principal component analysis & Factor analysis ?

[novinosrin]

Requesting guidance or pointers to some comprehensive documentation on the below topics to get started and learn my way up. My search leads me to SAS Stat procedure docs of course, however is there any more detailed one than that?

1. Principal component analysis & Factor analysis (Eigen-values and eigenvectors, scree plots, dimension reduction, factor rotation)
2. Canonical Correlation (to assess the relationship between two sets of variables) ▪ Discriminant analysis (Fisher's discriminant function) 
3. Cluster analysis (similarity measures, hierarchical clustering & non-hierarchical clustering). ▪ Multidimensional Scaling (if time permits)

[Reeza]

Theoretically:

https://web.stanford.edu/~hastie/Papers/ESLII.pdf

[PaigeMiller]

J. E. Jackson, "A User's Guide to Principal Components", John Wiley and Sons, 1991

https://onlinelibrary.wiley.com/doi/book/10.1002/0471725331

Also covers factor analysis and canonical correlations.

It is "the bible" for Principal Components.

[Reeza]

Last but not least, the documentation also includes the list of references that were used to develop the procedure. A lot is pretty technical but if you're going into the weeds its a good place to start.

https://documentation.sas.com/?docsetId=statug&docsetVersion=14.3&docsetTarget=statug_princomp_refer...

[novinosrin]

Thank you @Reeza and @PaigeMiller as always. Taking advantage of your(both) kindness :),  I will keep the thread open to come back with questions once the fall quarter begins at DePaul  and the course starts. In the meantime, I will start reading the recommended books/articles by you. 

Well, always never can thank you all  enough as this isn't the first or last time you have helped me or  I am gonna reach out 🙂 Have a nice day!

[PaigeMiller]

I add, for no particular reason other than pure name-dropping, that I used to work with J. E. "Ted" Jackson.