Table 1. Fitting quality of the four model variants (MSE- Mean Squared Error, AIC – Akaike Information Criterion).

Measure	Model M1		Model M2
	V 1	V 2	V 1	V 2
MSE	0.0149 ± 0.0020	0.0189 ± 0.0029	0.0154 ± 0.0020	0.0150 ± 0.0022
AIC	−1180.40 ± 55.28	−1087.93 ± 59.16	−1156.94 ± 55.74	−1166.96 ± 58.65
Number of estimated parameters	39	36	43	40

Smaller values of MSE and AIC correspond to higher quality models.