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The present paper deals with variable selection in multivariate calibration of spectral data. A machine learning method, stacked regression is improved and then used to linearly combine different regression models built on sequential spectral intervals. While automatically extracting the spectral intervals carrying useful information for quantitative analysis, the proposed method can achieve a combined...
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