Table 5.
Results for piecewise linear regression
| Interval 1 | Interval 2 | Interval 3 | |
| a10 | 0.1315 | -0.0419 | 0.0000 |
| a11 | -42.3980 | -14.1738 | -14.5490 |
| a12 | 0.0000 | -0.8010 | -0.0464 |
| a13 | 8.9105 | 7.3653 | 7.6299 |
| a14 | 12.7757 | -0.3340 | -0.1386 |
| a15 | -3.3476 | -6.9121 | -7.2940 |
| a20 | 0.0567 | -0.0197 | 0.0000 |
| a21 | -1.1939 | 14.4913 | 14.6792 |
| a22 | -32.3300 | -14.5116 | -14.6784 |
| a23 | 0.6133 | 0.0057 | -0.0205 |
| a24 | 7.0917 | 0.1016 | -0.0018 |
| a25 | 7.9313 | -0.1047 | 0.0067 |
| a30 | -0.7858 | -0.0181 | 0.0000 |
| a31 | -130.3724 | -0.2358 | 0.0021 |
| a32 | 0.0000 | 0.3616 | -0.0007 |
| a33 | -20.7724 | -27.6129 | -27.2551 |
| a34 | 62.1525 | 0.3496 | -0.0027 |
| a35 | 19.1470 | -0.1984 | 0.0006 |
| a40 | 0.3164 | -0.0709 | 0.0000 |
| a41 | -13.6819 | 1.1412 | -0.0115 |
| a42 | 0.0000 | -2.1478 | 0.0015 |
| a43 | 19.8295 | 18.8534 | 18.6927 |
| a44 | -13.3654 | -19.5811 | -18.5494 |
| a45 | -7.2135 | -8.0985 | -9.2792 |
| a50 | 0.1617 | -0.0393 | 0.0000 |
| a51 | -149.5199 | -0.8195 | 0.0250 |
| a52 | -160.3341 | 0.8175 | -0.0074 |
| a53 | 5.7537 | 0.0580 | -0.0304 |
| a54 | 85.3050 | 19.0394 | 18.5356 |
| a55 | 53.9745 | -19.1183 | -18.5623 |
The complete dataset is divided into three subsets for each variable, where the first and second extreme values serve as breakpoints. The datasets for the regression consisted of 401 data points in the interval [0,4] and resulted from a simulation in which X3 was perturbed at t = 0 to a value 5% above its steady-state value.