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Quantitative structure–property relationship (QSPR) models have been used to predict and explain gas chromatographic data of quantitative calibration factors (f M ). This method allows for the prediction of quantitative calibration factors in a variety of organic compounds based on their structures alone. Stepwise multiple linear regression (MLR) and non-linear radial basis function neural...
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