Table 5.

Number of parameters (NP), −2log value of the likelihood function (−2log L), Akaike (AIC), and Bayesian information criterion (BIC), according differents random regression models.

Model1	NP	−2log L	AIC	BIC	OC2
LEG2	7	10095.6924360777	10109.6924361	10157.01450962	3
LEG3	13	10024.8308108467	10050.8308108	10138.71466171	2
LEG4	21	9919.4883181071	9961.4883181	10103.45453874	1

¹LEG2, LEG3 e LEG4 are the specific models using Legendre polynomials of orders 2, 3, or 4 describing the fixed and random effects included in the models; ²OC = rank according AIC and BIC.