PLS - Important variable selection - Unscrambler

Dear Sir or Madame,

I would like to ask if there is a method how to identify important X-variables for a prediction of Y-variable(s) in Unscrambler. I'm using PLS not only for spectroscopic calibration purposes and my models are having many components (i.e. each of the first 4-5 PCs explain 15-20%) and therefore the PC1/PC2 plot is not enough to understand which are the most important variables.

Of course I know of Martens uncertainty test and I can also take a look at the B_W-weighted regression however, please are there any other methods how to identify important variables in PLS model within Unscrambler?

Thank you

With kind regards

Jan Skvaril