Table 3 shows a summary of the equations of some of the models used. The best fits were attained using exponential family curves.

Table 3

Models satisfactorily run using NLME modelling

Model .	Equation .	Pseudo-R2AIC .
		Samples .
		Undiluted river .	Sewage 1:10,000 .	All samples .
Logistic-exponential		0.979, 2,028.175	0.884, 423.043	0.992, 10,408.31
Antoine expanded		0.978, 2,038.338	0.882, 420.887	0.995, 9,712.877
Gompertz		0.975, 2,065.705	0.882, 425.045	0.994, 10,065.73
Monomolecular		0.970, 2,105.637	0.882, 422.698	0.994, 10,044.56
Modified Hoerl		0.970, 2,106.003	0.872, 433.002	0.993, 10,177.52
Heat capacity		0.968, 2,117.821	0.866, 437.514	0.972, 11,622.05
Root		0.967, 2,126.023	0.883, 422.362	0.993, 10,289.25
Saturation growth		0.949, 2,221.43	0.877, 427.617	0.990, 10,535.48
Asymptotic regression		0.828, 2,494.799	0.828, 463.960	0.970, 11,702.63
3rd Polynomic		0.752, 2,558.244	0.666, 527.072	0.673, 14,024.45

Model .	Equation .	Pseudo-R2AIC .
		Samples .
		Undiluted river .	Sewage 1:10,000 .	All samples .
Logistic-exponential		0.979, 2,028.175	0.884, 423.043	0.992, 10,408.31
Antoine expanded		0.978, 2,038.338	0.882, 420.887	0.995, 9,712.877
Gompertz		0.975, 2,065.705	0.882, 425.045	0.994, 10,065.73
Monomolecular		0.970, 2,105.637	0.882, 422.698	0.994, 10,044.56
Modified Hoerl		0.970, 2,106.003	0.872, 433.002	0.993, 10,177.52
Heat capacity		0.968, 2,117.821	0.866, 437.514	0.972, 11,622.05
Root		0.967, 2,126.023	0.883, 422.362	0.993, 10,289.25
Saturation growth		0.949, 2,221.43	0.877, 427.617	0.990, 10,535.48
Asymptotic regression		0.828, 2,494.799	0.828, 463.960	0.970, 11,702.63
3rd Polynomic		0.752, 2,558.244	0.666, 527.072	0.673, 14,024.45

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