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A weighted partial least squares (PLS) regression method for multivariate calibration of near infrared (NIR) spectra is proposed. In the method, the spectra are split into groups of variables according to the statistic values of variables, i.e., the stability, which has been used to evaluate the importance of variables in a calibration model. Because the stability reflects the relative importance of the variables for modeling, these groups present different spectral information for constructiondoi:10.1039/b9ay00257j fatcat:ymmpbmlcgre4ho7rwroebms5lu