Springer, 2018. — 250 p.
Chemometrics and Multivariate Calibration
The Classical Least-Squares Model
The Inverse Least-Squares Model
Principal Component Analysis
Principal Component Regression
The Optimum Number of Latent Variables
The Partial Least-Squares Model
Sample and Sensor Selection
Mathematical Pre-processing
Analytical Figures of Merit
MVC1: Software for Multivariate Calibration
Non-linearity and Artificial Neural Networks
Solutions to Exercises