Fitting results for "I139N-H_x_w2.U_model_1D_LR_LB_SF.single"
==========================

Fitting method: DirectSearch
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=  2.396973e+00      [ 0.000000e+00       0.000000e+00 ]

(2) name:  "  1:k_2_A | 2:k_2_A | 3:k_2_A | 4:k_2_A | 5:k_2_A | 6:k_2_A | 7:k_2_A | 8:k_2_A"
(2) value=  1.902250e+03      [ 0.000000e+00       0.000000e+00 ]

(3) 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"
(3) value=  2.522197e+04      [ 0.000000e+00       0.000000e+00 ]

(4) name:  "  1:ScaleFactor | 2:ScaleFactor | 3:ScaleFactor | 4:ScaleFactor | 5:ScaleFactor | 6:ScaleFactor | 7:ScaleFactor | 8:ScaleFactor"
(4) value=  4.821719e+02      [ 0.000000e+00       0.000000e+00 ]

Total sum of squares (SS) = 0.00388352
Statistics per dataset:
------------
(1) "I139N-H_x_w2-1":     Priority=1,     R^2=0.991,    9% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(2) "I139N-H_x_w2-2":     Priority=1,     R^2=0.984,    17% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(3) "I139N-H_x_w2-3":     Priority=1,     R^2=0.990,    8.8% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(4) "I139N-H_x_w2-4":     Priority=1,     R^2=0.987,    13% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(5) "I139N-H_x_w2-5":     Priority=1,     R^2=0.977,    18% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(6) "I139N-H_x_w2-6":     Priority=1,     R^2=0.984,    16% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(7) "I139N-H_x_w2-7":     Priority=1,     R^2=0.988,    11% of total SS,   Model= "U_model_1D_LR_LB_SF" 
(8) "I139N-H_x_w2-8":     Priority=1,     R^2=0.990,    8.7% of total SS,   Model= "U_model_1D_LR_LB_SF"