When we use PLS model, the original data x and y are projected into t and u. Then the dimention can be reduced, for example, the original dimension is 12. In PLS model we use 4 as the optimal dimension, it means we select 4 latent variables (LVs). Then we can get the regression equation as u=a*(LV1)+b*(LV2)+c*(LV3)+d*(LV4), but how about the equation of x and y? Can we get the equation some kind of y=e*(x1)+f*(x2)+g*(x3)+h*(x4)? If possible, how to get this equation? Or it is impossible?