Spectral data on the modern spectroscopic instrument are commonly of high co-linearity and contain a large number of spectral variables, which may cause the poor predictive performance of the developed model. To address this problem, a novel method for wavelength selection, named maximal information coefficient screening combined with PLS regression (MICPLS), is proposed. MIC can capture a wide range of relationships between feature variables and target variable, including both functional and non-functional relationships. By employing the simpl...
