Fitting statistics for "KA_fit_to_noisy_data" on per-dataset basis:
-----------------

Fitting results for "Test_2" with model "U-model"
Fitting method: not defined
Data length: 50 rows
R-square: -4.471062e+00
Sum of squares of residuals: 1.079860e-02

Parameters                ( Min and max limits )          { Monte-Carlo ranges }
(1)   Rtotal = +1.000000e-03  (    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 }
(3)   log10(K_A) = +1.000000e+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 }
(5)   w0_1 = +0.000000e+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 }
(7)   FWHH_1 = +2.000000e+01  (    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 }
(9)   ScaleFactor = +1.000000e+00  (    0.000e+00     0.000e+00 )   {    0.000e+00     0.000e+00 }