3.14 Estimation of Antoine Equation... Using Linear Regression  |POLVER05_ |4
20  5 
T	P	y=T * log(P)	x1=T	x2=log(P)
-70	7.37	-60.72272	-70.	0.8674675
-60	9.72	-59.25998	-60.	0.9876663
-50	12.6	-55.01853	-50.	1.100371
-40	16.2	-48.3806	-40.	1.209515
-30	20.3	-39.22488	-30.	1.307496
-20	25.3	-28.06241	-20.	1.403121
-10	31.4	-14.9693	-10.	1.49693
0	38.2	0	0	1.582063
10	46	16.62758	10.	1.662758
20	55.5	34.88586	20.	1.744293
30	66.3	54.64541	30.	1.821514
40	78	75.68378	40.	1.892095
50	91.8	98.14213	50.	1.962843
60	107.1	121.7874	60.	2.029789
70	124	146.5395	70.	2.093422
80	142.8	172.3783	80.	2.154728
90	164	199.3359	90.	2.214844
100	187	227.1842	100.	2.271842
110	213	256.1218	110.	2.32838
120	240	285.6253	120.	2.380211
*
Pv=10^(A+B/(TC+C))
A=6	B=-1000	TC=	C=200