One particular client however wanted to look at the impact of the specific attributes, and not the factors. However, the attributes were correlating too highly to put them in the regression model. So I had the idea of running the PCA and using the factors for the model as per usual, but this time I multiplied each attribute's correlation to the factors to their corresponding standardized betas, and added them up (I turned all negative scores either in the regression or the factors to positives prior to doing this). I provided the attributes rank-ordered in their impact on a chart, from highest to lowest.

The results that came out made sense, and I have tried it in other instances, with results that made sense... but I wasn't entirely positive if what I've done was legit. Is anything I've done as described above sacrilegous?

Thanks