Introduction.- Modern Spectroscopic Analysis Technology.- Basis of
Matrix and Mathematical Statistics.- Preprocessing Methods in
Spectroscopy Analysis.- Wavelength Variable Selection Method.- Spectral
Dimensionality Reduction Method.- Linear Regression Method.- Non-Linear
Regression Method.- Selection of Representative samples.- Outlier
Detection Method.- Calibration Model Maintenance.- Pattern Recognition.-
Evaluation of Model Performance.- Ways to Improve Model Predictive
Ability.- Multi-spectral Fusion Technology.- Multi-way Resolution and
Calibration.- Calibration Transfer Method.- Deep Learning Algorithms.-
Chemometrics Software and Toolbox.- Discussions.