Original Model:
     f(x,y) = (((((1.3806503E-23.*y)./6.626068E-34).*exp(-(DeltaGCat./(8.314472.*y)
                    ))).*1.07E-9)./(((( 1.3806503E-23.*y)./6.626068E-34)
                    .*exp(-(DeltaGInact./( 8.314472.*y)))).*(exp((DeltaHEq./8.314472)
                    .*(1./TEq-1./y))))).*(1-exp(-(((((1.3806503E-23.*y)
                    ./6.626068E-34).*exp(-(DeltaGInact./(8.314472.*y)))
                    ).*(exp((DeltaHEq./8.314472).*(1./TEq-1./y))).*x)./(1+
                    (exp((DeltaHEq./8.314472).*(1./TEq-1./y)))))))

Round 1 (with temp weighting):
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  8.999e+004  (8.996e+004, 9.002e+004)
       DeltaHEq =  1.572e+005  (1.568e+005, 1.576e+005)
       TEq =       316.8  (316.8, 316.8)

Goodness of fit:
  SSE: 1.601e-009
  R-square: 0.9993
  Adjusted R-square: 0.9993
  RMSE: 6.078e-007

Round 2 (filled in values, took off weighting):
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.596e+004, 6.596e+004)
       DeltaGInact =  8.999e+004  (8.997e+004, 9.001e+004)
       DeltaHEq =  1.573e+005  (1.57e+005, 1.576e+005)
       TEq =       316.8  (316.8, 316.8)

Goodness of fit:
  SSE: 3.198e-012
  R-square: 0.9996
  Adjusted R-square: 0.9996
  RMSE: 2.716e-008

Round 3 (fiddled it to get out of local minimum):
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.591e+004, 6.601e+004)
       DeltaGInact =    9.2e+004  (9.157e+004, 9.243e+004)
       DeltaHEq =    1.4e+005  (1.356e+005, 1.444e+005)
       TEq =         315  (314.7, 315.3)

Goodness of fit:
  SSE: 6.803e-010
  R-square: 0.9107
  Adjusted R-square: 0.9107
  RMSE: 3.962e-007

Round 4 (same):

Round 5 (weighted temps to get out of minimum):
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.596e+004, 6.596e+004)
       DeltaGInact =  9.028e+004  (9.026e+004, 9.03e+004)
       DeltaHEq =  1.604e+005  (1.601e+005, 1.608e+005)
       TEq =       316.6  (316.6, 316.6)

Goodness of fit:
  SSE: 1.055e-009
  R-square: 0.9996
  Adjusted R-square: 0.9996
  RMSE: 4.934e-007

Round 6 (inserted):
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.595e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.018e+004  (9.015e+004, 9.02e+004)
       DeltaHEq =  1.601e+005  (1.597e+005, 1.604e+005)
       TEq =       316.7  (316.6, 316.7)

Goodness of fit:
  SSE: 1.158e-009
  R-square: 0.9995
  Adjusted R-square: 0.9995
  RMSE: 5.17e-007

Round 7:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.595e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.018e+004  (9.016e+004, 9.021e+004)
       DeltaHEq =  1.601e+005  (1.597e+005, 1.604e+005)
       TEq =       316.6  (316.6, 316.7)

Goodness of fit:
  SSE: 1.034e-009
  R-square: 0.9996
  Adjusted R-square: 0.9996
  RMSE: 4.885e-007

Round 8:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.018e+004  (9.015e+004, 9.02e+004)
       DeltaHEq =    1.6e+005  (1.597e+005, 1.604e+005)
       TEq =       316.7  (316.6, 316.7)

Goodness of fit:
  SSE: 1.037e-009
  R-square: 0.9996
  Adjusted R-square: 0.9996
  RMSE: 4.892e-007

M Model:
General model:
     f(x,y) = (((((1.3806503E-23.*y)./6.626068E-34).*exp(-(DeltaGCat./(8.314472.*y)
                    ))).*1.07E-9)./((((1.3806503E-23.*y)./6.626068E-34)
                    .*exp(-(DeltaGInact./(8.314472.*y)))).*(1+exp((DeltaHEq./8.314472)
                    .*(1./TEq-1./y))))).*(1-exp(-((((1.3806503E-23.*y)./6.626068E-
                    34).*exp(-(DeltaGInact./(8.314472.*y)))).*x)))
Round 1:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.593e+004  (6.593e+004, 6.594e+004)
       DeltaGInact =  9.109e+004  (9.107e+004, 9.111e+004)
       DeltaHEq =  1.919e+005  (1.916e+005, 1.922e+005)
       TEq =       317.3  (317.3, 317.4)

Goodness of fit:
  SSE: 1.439e-009
  R-square: 0.9994
  Adjusted R-square: 0.9994
  RMSE: 5.762e-007

Round 2:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =   9.02e+004  (9.017e+004, 9.022e+004)
       DeltaHEq =  1.605e+005  (1.602e+005, 1.609e+005)
       TEq =       316.6  (316.6, 316.7)

Goodness of fit:
  SSE: 1.138e-009
  R-square: 0.9995
  Adjusted R-square: 0.9995
  RMSE: 5.125e-007

Round 3:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.019e+004  (9.017e+004, 9.021e+004)
       DeltaHEq =  1.602e+005  (1.599e+005, 1.605e+005)
       TEq =       316.6  (316.6, 316.7)

Goodness of fit:
  SSE: 1.092e-009
  R-square: 0.9995
  Adjusted R-square: 0.9995
  RMSE: 5.019e-007

Round 4:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.018e+004  (9.016e+004, 9.021e+004)
       DeltaHEq =  1.601e+005  (1.598e+005, 1.604e+005)
       TEq =       316.7  (316.6, 316.7)

Goodness of fit:
  SSE: 1.094e-009
  R-square: 0.9995
  Adjusted R-square: 0.9995
  RMSE: 5.025e-007

Round 5:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.016e+004  (9.013e+004, 9.018e+004)
       DeltaHEq =  1.599e+005  (1.595e+005, 1.602e+005)
       TEq =       316.7  (316.7, 316.7)

Goodness of fit:
  SSE: 1.098e-009
  R-square: 0.9995
  Adjusted R-square: 0.9995
  RMSE: 5.034e-007

Round 6:
Coefficients (with 95% confidence bounds):
       DeltaGCat =  6.596e+004  (6.595e+004, 6.596e+004)
       DeltaGInact =  9.018e+004  (9.016e+004, 9.021e+004)
       DeltaHEq =  1.601e+005  (1.598e+005, 1.604e+005)
       TEq =       316.6  (316.6, 316.7)

Goodness of fit:
  SSE: 9.855e-010
  R-square: 0.9996
  Adjusted R-square: 0.9996
  RMSE: 4.768e-007
