PCA components are orthogonal by definition so no, that doesn't make sense at all. Do yourself a favor and get a book on multivariate data analysis. Two books come to mind: Obviously the one of Hair and colleagues, called "multivariate data analysis" and easily found in a university library (or on the internet).
The second one is "An R and S-Plus Companion to Multivariate Analysis" by Everitt. This one you have less chance of finding in the library, but you find it online for sale. This is a nice introduction as well : https://netfiles.uiuc.edu/miguez/www/Teaching/MultivariateRGGobi.pdf Never use a chainsaw without reading the manual. Cheers Joris On Tue, Jul 6, 2010 at 9:07 PM, Marino Taussig De Bodonia, Agnese <agnese.marin...@imperial.ac.uk> wrote: > Hello, > > I am currently analyzing responses to questionnaires about general attitudes. > I have performed a PCA on my data, and have retained two Principal > Components. Now I would like to use the scores of both the principal > comonents in a multiple regression. I would like to know if it makes sense to > use the scores of one principal component to explain the variance in the > scores of another principal component: > > lm(scores of principal component 1~scores of principal component 2+ age, > gender, etc..) > > Please could you let me know if this is statistically sound? > > Thank you in advance for you time, > > Agnese > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Joris Meys Statistical consultant Ghent University Faculty of Bioscience Engineering Department of Applied mathematics, biometrics and process control tel : +32 9 264 59 87 joris.m...@ugent.be ------------------------------- Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
