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
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