Fitting statistics for "I139N-H_x_w2.U_model_1D_LR_LB_SF.single" on per-dataset basis: ----------------- Fitting results for "I139N-H_x_w2-1" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 23 rows R-square: 9.369119e-01 Sum of squares of residuals: 5.795148e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e-06 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-2" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 21 rows R-square: 9.205144e-01 Sum of squares of residuals: 6.721645e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-3" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 25 rows R-square: 9.153704e-01 Sum of squares of residuals: 6.893682e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.700000e-01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-4" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 25 rows R-square: 8.452994e-01 Sum of squares of residuals: 1.476844e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-5" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 25 rows R-square: 7.948035e-01 Sum of squares of residuals: 1.562685e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.910000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-6" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 25 rows R-square: 8.185626e-01 Sum of squares of residuals: 1.727348e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.840000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-7" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 23 rows R-square: 9.422351e-01 Sum of squares of residuals: 4.667843e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.690000e+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 "I139N-H_x_w2-8" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 21 rows R-square: 9.271293e-01 Sum of squares of residuals: 5.438252e-02 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.600000e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.940000e+01 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +3.000000e+00 [ 0.000e+00 0.000e+00 ] ( 1.000e+00 7.000e+00 ) { 2.000e+00 5.000e+00 } (4) k_2_A = +1.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 1.000e+05 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +2.506164e+04 [ 0.000e+00 0.000e+00 ] ( 2.494e+04 2.519e+04 ) { 2.504e+04 2.509e+04 } (6) w0_2 = +2.518997e+04 [ 0.000e+00 0.000e+00 ] ( 2.506e+04 2.532e+04 ) { 2.516e+04 2.522e+04 } (7) FWHH_1 = +1.350640e+02 [ 0.000e+00 0.000e+00 ] ( 6.753e+01 2.026e+02 ) { 1.081e+02 1.621e+02 } (8) FWHH_2 = +1.447220e+02 [ 0.000e+00 0.000e+00 ] ( 7.236e+01 2.171e+02 ) { 1.158e+02 1.737e+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 }