Understanding calibration robustness under extreme spectral multicollinearity: A systematic evaluation of high-dimensional NIR spectroscopy.
High-dimensional near-infrared (NIR) spectroscopy datasets are characterized by strong wavelength correlation, limited sample sizes, and structured experimental variability, creating significant challenges for multivariate calibration. Under these conditions, extreme multicollinearity can lead to unstable regression co...