Fitting results for "A110N-H_x_w2.U_model_1D_LR_LB_SF.single" ========================== Fitting method: DirectSearch Number of active datasets (non-zero priority): 9 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) | 9:log10(K_A)" (1) value= 3.527344e+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 | 9:k_2_A" (2) value= 1.049050e+04 [ 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 | 9:w0_2" (3) value= 4.418795e+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 | 9:ScaleFactor" (4) value= 1.954094e+03 [ 0.000000e+00 0.000000e+00 ] Total sum of squares (SS) = 0.00411816 Statistics per dataset: ------------ (1) "A110N-H_x_w2-1": Priority=1, R^2=0.973, 4.1% of total SS, Model= "U_model_1D_LR_LB_SF" (2) "A110N-H_x_w2-2": Priority=1, R^2=0.892, 17% of total SS, Model= "U_model_1D_LR_LB_SF" (3) "A110N-H_x_w2-3": Priority=1, R^2=0.765, 33% of total SS, Model= "U_model_1D_LR_LB_SF" (4) "A110N-H_x_w2-4": Priority=1, R^2=0.960, 6.7% of total SS, Model= "U_model_1D_LR_LB_SF" (5) "A110N-H_x_w2-5": Priority=1, R^2=0.973, 5.6% of total SS, Model= "U_model_1D_LR_LB_SF" (6) "A110N-H_x_w2-6": Priority=1, R^2=0.952, 9.6% of total SS, Model= "U_model_1D_LR_LB_SF" (7) "A110N-H_x_w2-7": Priority=1, R^2=0.957, 9.6% of total SS, Model= "U_model_1D_LR_LB_SF" (8) "A110N-H_x_w2-8": Priority=1, R^2=0.945, 10% of total SS, Model= "U_model_1D_LR_LB_SF" (9) "A110N-H_x_w2-9": Priority=1, R^2=0.980, 4.4% of total SS, Model= "U_model_1D_LR_LB_SF"