Calibration of artificial neural network and partial least squares regression models for the prediction of secoisolariciresinol diglucoside contents in microwave-assisted extracts of various flaxseed (Linum usitatissimum L.) samples

► PLS and ANN models were calibrated to predict the SDG content in flaxseed samples. ► General ANN models were calibrated for data sets of mixed flaxseed samples. ► The ANN models were more precise and accurate than the PLS models. ► Ferulic acid standard was a good predictor of SDG standard. ► Correction factors for ferulic and gallic acids equivalents are proposed.