10 likes | 107 Views
Explore calibration and prediction for new observations using global and local Partial Least Squares Regression (PLSR) techniques. Utilize classification methods and fuzzy clustering for accurate predictions.
E N D
CalibrationPrediction for new observations X- and Y- data X- data PLSR calibration Global PLSR prediction Global PLSR model Predicted Y- data Projection into global PLSR model* Global PLS X- and Y- scores Predicted PLS X- and Y- scores Classification (FCM/LDA/QDA/NB) Nr. of clusters Fuzzy clustering Membershipvalues for eachobservation in eachcluster Membershipvalues for eachobservation in eachcluster PLSR calibration Local PLSR models in eachcluster PLSR prediction PLSR prediction Prediction of Y for each observation as weighted sum of local models using the membership values as weights or only using the most probable local model