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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.