The article discusses two methods, Inverse Least Squares and Classical Least Squares, for analyzing vibrational spectroscopy data. These methods are used to calibrate and predict spectroscopic measurements. The researchers also explore data preprocessing techniques and discuss the advantages and disadvantages of each method. They compare the performance of these methods and discuss their statistical properties. Overall, the study shows how these methods can be applied to analyze spectroscopic data effectively.