Fitting statistics for "Global.U_model_1D_LR_LB_SF.global" on per-dataset basis: ----------------- Fitting results for "G138N-H_x_w1-1" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 9.365982e-01 Sum of squares of residuals: 1.109803e-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 = +1.000000e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-2" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 31 rows R-square: 9.166567e-01 Sum of squares of residuals: 1.477247e-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-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-3" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 31 rows R-square: 8.630899e-01 Sum of squares of residuals: 2.371816e-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 = +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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-4" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 7.871995e-01 Sum of squares of residuals: 4.493176e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-5" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 6.540084e-01 Sum of squares of residuals: 6.936087e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-6" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 6.925640e-01 Sum of squares of residuals: 5.920812e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-7" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 8.924954e-01 Sum of squares of residuals: 2.077050e-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 = +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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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 "G138N-H_x_w1-8" with model "U_model_1D_LR_LB_SF" Fitting method: Not defined Data length: 33 rows R-square: 9.353821e-01 Sum of squares of residuals: 1.590578e-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+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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 1.000e+02 1.000e+03 } (5) w0_1 = +3.527331e+04 [ 0.000e+00 0.000e+00 ] ( 3.510e+04 3.545e+04 ) { 3.524e+04 3.531e+04 } (6) w0_2 = +3.535821e+04 [ 0.000e+00 0.000e+00 ] ( 3.518e+04 3.553e+04 ) { 3.532e+04 3.539e+04 } (7) FWHH_1 = +8.171773e+01 [ 0.000e+00 0.000e+00 ] ( 4.086e+01 1.226e+02 ) { 6.537e+01 9.806e+01 } (8) FWHH_2 = +7.682448e+01 [ 0.000e+00 0.000e+00 ] ( 3.841e+01 1.152e+02 ) { 6.146e+01 9.219e+01 } (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_w2-1" 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: 5.795147e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 9.250289e-01 Sum of squares of residuals: 6.339874e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 9.189377e-01 Sum of squares of residuals: 6.603098e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 8.480442e-01 Sum of squares of residuals: 1.450641e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 7.935324e-01 Sum of squares of residuals: 1.572366e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 8.190340e-01 Sum of squares of residuals: 1.722860e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 9.427423e-01 Sum of squares of residuals: 4.626858e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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: 9.272900e-01 Sum of squares of residuals: 5.426257e-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 = +3.000000e+03 [ 0.000e+00 0.000e+00 ] ( 1.000e+01 5.000e+03 ) { 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 }