Fitting results for "I139N-H_x_w2.U_model_1D_LR_LB_SF.one-by-one"
==========================

Fitting method: simplex
Number of active datasets (non-zero priority): 8

Reporting only on variable parameters (dataset-#:parameter-name):
(# in the fit-vector)            [min value, max value] for 95% confidence interval
--------------------------
(1) name:  "  1:log10(K_A) | 2:log10(K_A) | 3:log10(K_A) | 4:log10(K_A) | 5:log10(K_A) | 6:log10(K_A) | 7:log10(K_A) | 8:log10(K_A)"
(1) value=  2.330383e+00      [ 2.285499e+00       2.380300e+00 ]

(2) name:  "  1:w0_2 | 2:w0_2 | 3:w0_2 | 4:w0_2 | 5:w0_2 | 6:w0_2 | 7:w0_2 | 8:w0_2"
(2) value=  2.523296e+04      [ 2.522999e+04       2.523561e+04 ]

(3) name:  "  1:ScaleFactor | 2:ScaleFactor | 3:ScaleFactor | 4:ScaleFactor | 5:ScaleFactor | 6:ScaleFactor | 7:ScaleFactor | 8:ScaleFactor"
(3) value=  4.808864e+02      [ 4.392193e+02       5.301446e+02 ]

Total sum of squares (SS) = 0.00375448
Statistics per dataset:
------------
(1) "I139N-H_x_w2-1":     Priority=1,     R^2=0.991,    9.5% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(2) "I139N-H_x_w2-2":     Priority=1,     R^2=0.983,    19% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(3) "I139N-H_x_w2-3":     Priority=1,     R^2=0.988,    11% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(4) "I139N-H_x_w2-4":     Priority=1,     R^2=0.987,    14% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(5) "I139N-H_x_w2-5":     Priority=1,     R^2=0.979,    17% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(6) "I139N-H_x_w2-6":     Priority=1,     R^2=0.987,    14% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(7) "I139N-H_x_w2-7":     Priority=1,     R^2=0.990,    9.7% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(8) "I139N-H_x_w2-8":     Priority=1,     R^2=0.992,    7.2% of total SS,   Model= "U_model_1D_LR_LB_SF"