Wavelength selection has become a critical step in the analysis for near-infrared (NIR) spectroscopy with high co-linearity and large number of spectral variables. In this study, a novel wavelength interval selection method based on split regularized regression and partial least squares (SplitReg-PLS) is developed. SplitReg-PLS is a two-step approach, which combines the advantage of the SplitReg and PLS methods. SplitReg presents interesting properties, which can split the variables into groups and pool the regularized estimation of the regress...
