So, I am running PLS on a genetic dataset with phenotypic and genotypic information. I have about 1000 binary predictors (X), representing molecular markers, for each individual. My indicator variables (Y) are yield in pounds per acre for each individual.
I am predicting yield (Y) using molecular markers (X) with about 3 latent variables. I have made the predictions and am satisfied with the model's ability to predict based on genotype.
What I want to know is: How do I determine the effect that each marker is having on the Y prediction within each latent variable? Preferably in units of Y (lbs per acre).
I should add that I know that there are more appropriate models to model the effects of individual markers, but I am primarily interested in comparing this model with other models, as well as knowing a few predicted marker effects for explanatory purposes.