Fitting results for "G138N-H_x_w1.U_model_1D_LR_LB_SF.single" ========================== 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= 2.165048e+00 [ 2.077813e+00 2.260838e+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= 3.539886e+04 [ 3.539378e+04 3.540332e+04 ] (3) name: " 1:ScaleFactor | 2:ScaleFactor | 3:ScaleFactor | 4:ScaleFactor | 5:ScaleFactor | 6:ScaleFactor | 7:ScaleFactor | 8:ScaleFactor" (3) value= 5.028496e+02 [ 4.540589e+02 5.447739e+02 ] Total sum of squares (SS) = 0.0128143 Statistics per dataset: ------------ (1) "G138N-H_x_w1-1": Priority=1, R^2=0.977, 9.3% of total SS, Model= "U_model_1D_LR_LB_SF" (2) "G138N-H_x_w1-2": Priority=1, R^2=0.981, 8.6% of total SS, Model= "U_model_1D_LR_LB_SF" (3) "G138N-H_x_w1-3": Priority=1, R^2=0.968, 14% of total SS, Model= "U_model_1D_LR_LB_SF" (4) "G138N-H_x_w1-4": Priority=1, R^2=0.972, 14% of total SS, Model= "U_model_1D_LR_LB_SF" (5) "G138N-H_x_w1-5": Priority=1, R^2=0.966, 16% of total SS, Model= "U_model_1D_LR_LB_SF" (6) "G138N-H_x_w1-6": Priority=1, R^2=0.965, 16% of total SS, Model= "U_model_1D_LR_LB_SF" (7) "G138N-H_x_w1-7": Priority=1, R^2=0.967, 15% of total SS, Model= "U_model_1D_LR_LB_SF" (8) "G138N-H_x_w1-8": Priority=1, R^2=0.987, 7.5% of total SS, Model= "U_model_1D_LR_LB_SF"