Fitting statistics for "G138N-H_x_w1.U_model_1D_LR_LB_SF.single" 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: 9.376085e-01 Sum of squares of residuals: 1.092119e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-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: 9.176008e-01 Sum of squares of residuals: 1.460512e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.839702e-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: 8.641050e-01 Sum of squares of residuals: 2.354230e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.685309e-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: 7.879162e-01 Sum of squares of residuals: 4.478042e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.937251e+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: 6.542725e-01 Sum of squares of residuals: 6.930791e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.906328e+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: 6.920587e-01 Sum of squares of residuals: 5.930544e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.843750e+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: 8.934708e-01 Sum of squares of residuals: 2.058205e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +9.687500e+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: 9.363700e-01 Sum of squares of residuals: 1.566262e-01 Parameters [ 95% confidence interval ] ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +7.619048e-04 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.937500e+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 }