m = number of PLS factors in the model; n = number of molecules in the training set; nT = number of molecules in test set; R2 = coefficient of determination; Q2 = R2 for test set; SD = standard deviation of regression; RMSE = root-mean squared error; F = variance ratio; P = statistical significance; Pearson-R = Pearson correlation coefficient.