Partial Least Square (PLS) Analysis Most Favorite Tool in Chemometrics to Build a Calibration Model

Partial least square (PLS) analysis is the most favourite tool in chemometrics to develop calibration models. PLS technique allows us to decipher even the complex systems by analysing all the variables instead of looking at them one at a time. PLS technique not only capture the maximum variation associated with predictor (i.e. spectra) and predicted (i.e. concentration) variables but also maximises the correlation between them. The present article describes the working scheme of the PLS algorithm. It also describes important technical details that need to be considered for developing a parsimonious and robust calibration model.

Automated summary

PLS analysis is widely used in chemometrics for developing calibration models. It allows for decoding complex systems by analyzing all variables simultaneously, capturing maximum variation and maximizing correlation.