onlineregression14:   Multiple nonlinear regression   ⇒   y = f(x1, x2) Formulas u = log(x1)           v = log(x2)           w = log(y) t1 = n∑wv - ∑w∑v           t2 = n∑u∑v - ∑u∑v          t3 = n∑v2 - (∑v)2 t4 = n∑wu - ∑w∑u           t5 = n∑uv - ∑u∑v           t6 = n∑u2 - (∑u)2 t7 = n∑v2 - (∑v)2 β1 = (t1*t2 - t3*t4)/(t5*t5 - t6*t7)          β2 = (t4 - β1*t6)/t2 α = (∑y - β1∑x1 - β2∑x2)/n          a = 10[(∑y - β1∑x1 - β2∑x2)/n] b1 = β1          b2 = β2          y = a x1b1 x2b2 Reference Ponce, V. M. 1989. Engineering Hydrology, Principles and Practices. Prentice Hall, page 241-243. Return SAMPLE INPUT DATA: Array size n:  12 Corresponding values of arrays y, x1 and x2 (you can cut and paste sample arrays into form). y:    89,75,57,34,101,121,68,79,25,59,96,12 x1:    3245,2567,2783,1234,5345,5329,3002,2976,1034,2984,3892,534 x2:    0.008,0.011,0.009,0.015,0.006,0.007,0.008,0.010,0.018,0.010,0.007,0.020 SAMPLE OUTPUT: a = 0.038671        b1 = 1.176878        b2 = 0.46380 Thank you for running onlineregression14.   Please call again.   [070418]