The development of calibration models for spectroscopic data using principal component regression

Abstract

The aim of this tutorial is to describe in a systematic way the chemometric development of a calibration model for spectroscopic data analysis by Principal Component Regression, PCR. This process consists of many steps, from the pre-treatment of the data to the utilisation of the calibration model, and includes for instance outlier detection (and possible rejection), validation and many other topics in chemometrics. The