polymath 1
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polymath
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POLYMATH Results 12-15-2014
Nonlinear regression (L-M)
Model: RATE = k*CL/(1+ka*CL+kc*CE+kw*W)^2
Variable Ini guess Value 95% confidence k 1, 0,0013835 5,611E-09 ka 5, 4,7874102 1,277E-05 kc 2, 0,2628795 6,184E-06 kw 1, 0,4240229 8,719E-06
Nonlinear regression settings Max # iterations = 64
Precision R^2 = 0,9999944 R^2adj = 0,9999915 Rmsd = 6,224E-09 Variance = 6,456E-16
General Sample size = 10 # Model vars = 4 # Indep vars = 3 # Iterations = 29
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