OSC (orthogonal signal correction), CFS (correlation based feature selection), Lasso prior to PLS model building

I have been developing NIR spectroscopy model for tablet film coating growth however it required correlation based feature slection and lasso as preprocessing steps as well as orthogonal signal correction. Are these valid approaches to selecting important regions from a nir considering my use cade of not please explain theoretically why jot and if possible provide journal articles i need to publish this journal article soon snd these preprocessing steps were crucial for a low error RMSE RMSEP and high …

building correlation datascience feature feature selection film growth lasso osc prior signal spectroscopy