The goodness of fit of the tested mathematical models to the
experimental data was evaluated with the correlation coefficient
(R), the root mean square error (RMSE), and reduced chi-square
(v2). The higher the R value, and lower the RMSE and v2 values,
the better is the goodness of fit [4,6,51].