Fitting statistics for "KA_fit_to_ideal_data" on per-dataset basis: ----------------- Fitting results for "Test_1" with model "U-model" Fitting method: GlobalSearch Data length: 50 rows R-square: 9.873072e-01 Sum of squares of residuals: 4.432115e-05 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +7.500000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +4.806708e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 1.000e+01 ) { 1.699e+00 7.000e+00 } (4) k_2_A = +1.000000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (5) w0_1 = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (6) w0_2 = +2.000000e+02 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (7) FWHH_1 = +2.000000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (8) FWHH_2 = +2.000000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (9) ScaleFactor = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 }