Fitting results for "Tutorial_4_U_fit"
==========================

Fitting method: DirectSearch
Number of active datasets (non-zero priority): 7

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)"
(1) value=  6.474373e+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"
(2) value=  9.670441e+00      [ 0.000000e+00       0.000000e+00 ]

(3) name:  "  1:w0_1 | 2:w0_1 | 3:w0_1 | 4:w0_1 | 5:w0_1 | 6:w0_1 | 7:w0_1"
(3) value=  7.522852e+01      [ 0.000000e+00       0.000000e+00 ]

(4) name:  "  1:w0_2 | 2:w0_2 | 3:w0_2 | 4:w0_2 | 5:w0_2 | 6:w0_2 | 7:w0_2"
(4) value=  5.003525e+02      [ 0.000000e+00       0.000000e+00 ]

(5) name:  "  1:FWHH_1 | 2:FWHH_1 | 3:FWHH_1 | 4:FWHH_1 | 5:FWHH_1 | 6:FWHH_1 | 7:FWHH_1"
(5) value=  1.517911e+02      [ 0.000000e+00       0.000000e+00 ]

(6) name:  "  1:FWHH_2 | 2:FWHH_2 | 3:FWHH_2 | 4:FWHH_2 | 5:FWHH_2 | 6:FWHH_2 | 7:FWHH_2"
(6) value=  1.907396e+02      [ 0.000000e+00       0.000000e+00 ]

Total sum of squares (SS) = 0.00161896
Statistics per dataset:
------------
(1) "test_series-1":     Priority=1,     R^2=1.000,    5.2% of total SS,   Model= "U-model" 
(2) "test_series-2":     Priority=1,     R^2=1.000,    0.99% of total SS,   Model= "U-model" 
(3) "test_series-3":     Priority=1,     R^2=1.000,    5.9% of total SS,   Model= "U-model" 
(4) "test_series-4":     Priority=1,     R^2=1.000,    13% of total SS,   Model= "U-model" 
(5) "test_series-5":     Priority=1,     R^2=1.000,    15% of total SS,   Model= "U-model" 
(6) "test_series-6":     Priority=1,     R^2=1.000,    54% of total SS,   Model= "U-model" 
(7) "test_series-7":     Priority=1,     R^2=1.000,    5.8% of total SS,   Model= "U-model"