Figure 8. Prediction of data at 10 min using the experimental data at 3 min and the reduced models containing only significant predictors.

Numerical integration is used to eliminate the error due to discrete approximation of time-derivatives. The central diagonal line is the y = x line (i.e. perfect fit with no residual error). The dashed and dotted lines, denote the y = x±σ_f and y = x±2σ_f lines, respectively; where σ_f is the best (minimum) fit-error obtained by linear-regression between the experimental data at 3 min (as input) and the experimental data at 10 min (as output).