Fitting statistics for "A110N-H_x_w2.U_model_1D_LR_LB_SF.single" on per-dataset basis: ----------------- Fitting results for "A110N-H_x_w2-1" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 35 rows R-square: -5.427444e-01 Sum of squares of residuals: 3.462954e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.827000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -1.000e+03 1.000e+03 ) { -1.000e+00 1.000e+00 } Fitting results for "A110N-H_x_w2-2" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 37 rows R-square: -6.533697e-01 Sum of squares of residuals: 4.026823e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.819872e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.740037e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-3" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 45 rows R-square: -7.319566e-01 Sum of squares of residuals: 4.445637e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.810978e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +3.930082e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-4" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 43 rows R-square: -7.602149e-01 Sum of squares of residuals: 5.202422e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.799016e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.910138e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-5" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 39 rows R-square: -9.000568e-01 Sum of squares of residuals: 6.253527e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.774666e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.310025e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-6" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 37 rows R-square: -1.035642e+00 Sum of squares of residuals: 6.249319e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.769247e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.710835e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-7" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 45 rows R-square: -4.211427e-01 Sum of squares of residuals: 5.844327e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.756641e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.002732e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-8" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 45 rows R-square: -1.834994e-01 Sum of squares of residuals: 4.065074e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.734108e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.200618e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } Fitting results for "A110N-H_x_w2-9" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 43 rows R-square: -1.215173e-01 Sum of squares of residuals: 4.392594e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.712146e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.800963e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +5.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.300000e+04 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 2.500e+04 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +4.493602e+04 [ 0.000e+00 0.000e+00 ] ( 4.471e+04 4.516e+04 ) { 4.489e+04 4.498e+04 } (6) w0_2 = +4.425195e+04 [ 0.000e+00 0.000e+00 ] ( 4.403e+04 4.447e+04 ) { 4.421e+04 4.430e+04 } (7) FWHH_1 = +2.079651e+02 [ 0.000e+00 0.000e+00 ] ( 1.040e+02 3.119e+02 ) { 1.664e+02 2.496e+02 } (8) FWHH_2 = +1.662930e+02 [ 0.000e+00 0.000e+00 ] ( 8.315e+01 2.494e+02 ) { 1.330e+02 1.996e+02 } (9) ScaleFactor = +4.000000e+02 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+04 ) { 1.000e-01 1.000e+04 } (10) LRcorrection = +1.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e-01 1.000e+01 ) { 7.000e-01 1.400e+00 } (11) LB_a = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 } (12) LB_b = +0.000000e+00 [ 0.000e+00 0.000e+00 ] ( -Inf Inf ) { 0.000e+00 0.000e+00 }