Hi Gang,
Thank you for your reply! We have 12 face categories. For consideration of one kind of trait rating(e.g. trustworthiness), we used 24 regressors(one for mean of every face category and one for variation for the face category) to model the data. But I think the components for the regressors of variation maybe overlap with each other. So if we only focus on one face category, the results are affected by other variatonal components pertaining to other 11 face categories. My question is that if we can only add one regressor of variation for the speciafied face category when I focus on the face category, and the same for other face categories.
Thank you very much!
Xiaoyun