Fitting statistics for "G138N-H_x_w1.U_model_1D_LR_LB_SF.one-by-one" on per-dataset basis: ----------------- Fitting results for "G138N-H_x_w1-1" with model "U_model_1D_LR_LB_SF" Fitting method: simplex Data length: 33 rows R-square: 9.774316e-01 Sum of squares of residuals: 3.950443e-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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 31 rows R-square: 9.807893e-01 Sum of squares of residuals: 3.405069e-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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 31 rows R-square: 9.681549e-01 Sum of squares of residuals: 5.516805e-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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 33 rows R-square: 9.721290e-01 Sum of squares of residuals: 5.884814e-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+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 33 rows R-square: 9.663659e-01 Sum of squares of residuals: 6.742626e-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 = +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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 33 rows R-square: 9.654889e-01 Sum of squares of residuals: 6.646374e-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+00 [ 0.000e+00 0.000e+00 ] ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 33 rows R-square: 9.671565e-01 Sum of squares of residuals: 6.345544e-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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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: simplex Data length: 33 rows R-square: 9.870396e-01 Sum of squares of residuals: 3.190211e-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) = +2.166305e+00 [ 2.106e+00 2.215e+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 = +3.539880e+04 [ 3.540e+04 3.540e+04 ] ( 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 = +5.041087e+02 [ 4.652e+02 5.674e+02 ] ( 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 }