3.8(b) Nonlinear Regression for Margules Equations  |POLVER05_ |4
10  8 
x1	x2=1 - x1	gamma1	gamma2	gsum=gamma1 + gamma2	gam1calc=exp(x2 ^ 2 * (2 * 0.45157 - 0.26077) + 2 * x2 ^ 3 * (0.26077 - 0.45157))	gam2calc=exp(x1 ^ 2 * (2 * 0.26077 - 0.45157) + 2 * x1 ^ 3 * (0.45157 - 0.26077))	sumterm=(gamma1 - gam1calc) ^ 2 + (gamma2 - gam2calc) ^ 2
0.0464	0.9536	1.2968	0.9985	2.2953	1.288184	1.000189	7.709E-05
0.0861	0.9139	1.2798	0.9998	2.2796	1.277928	1.000763	4.43E-06
0.2004	0.7996	1.2358	1.0068	2.2426	1.24063	1.005898	2.414E-05
0.2792	0.7208	1.1988	1.0159	2.2147	1.210264	1.013855	0.0001356
0.3842	0.6158	1.1598	1.0359	2.1957	1.167054	1.032486	6.428E-05
0.4857	0.5143	1.1196	1.0676	2.1872	1.125243	1.06208	6.231E-05
0.5824	0.4176	1.0838	1.1096	2.1934	1.087882	1.104194	4.588E-05
0.6904	0.3096	1.0538	1.1664	2.2202	1.051532	1.172254	3.941E-05
0.7842	0.2158	1.0311	1.2401	2.2712	1.026423	1.254905	0.000241
0.8972	0.1028	1.0078	1.4038	2.4116	1.006394	1.393644	0.0001051
*
gsum=exp(x2^2*(2*B-A)+2*x2^3*(A-B))+exp(x1^2*(2*A-B)+2*x1^3*(B-A))
B=0.46	A=0.25