Kismi en küçük kareler regresyonu yardimiyla optimum bileşen sayisini seçmede model seçme kriterlerinin performans karşilaştirmasi

Partial Least Squares Regression (PLSR) is a multivariate statistical method for constructing predictive models when the variables are many and highly collinear. Its goal is to predict a set of response variables from a set of predictor variables. This prediction is achieved by extracting a set of orthogonal factors called latent variables