Fitting statistics for "Tutorial_5" on per-dataset basis: ----------------- Fitting results for "Series_1-1" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: 9.768264e-01 Sum of squares of residuals: 3.037769e-05 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 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 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-2" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: 5.445199e-01 Sum of squares of residuals: 1.745908e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-3" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: -1.487211e+00 Sum of squares of residuals: 3.043867e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-4" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: -3.015360e+00 Sum of squares of residuals: 3.830179e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-5" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: -7.059406e-01 Sum of squares of residuals: 4.715530e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +8.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-6" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: 8.679285e-01 Sum of squares of residuals: 1.598207e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e+00 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_1-7" with model "U-model" Fitting method: not defined Data length: 60 rows R-square: 9.688465e-01 Sum of squares of residuals: 3.854237e-05 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.200000e+00 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = -3.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (6) w0_2 = +8.000000e+02 ( -1.000e+03 1.500e+03 ) { -1.000e+03 1.500e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-1" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 9.930710e-01 Sum of squares of residuals: 9.258440e-06 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 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 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-2" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 9.642827e-01 Sum of squares of residuals: 3.994714e-05 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +2.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-3" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 8.408992e-01 Sum of squares of residuals: 1.684248e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +4.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-4" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 7.547398e-01 Sum of squares of residuals: 2.629361e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +6.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-5" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 5.749550e-01 Sum of squares of residuals: 5.228843e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +8.000000e-01 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-6" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 3.239679e-01 Sum of squares of residuals: 8.832101e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.000000e+00 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 } Fitting results for "Series_2-7" with model "U-model" Fitting method: not defined Data length: 20 rows R-square: 2.908021e-01 Sum of squares of residuals: 9.159806e-04 Parameters ( Min and max limits ) { Monte-Carlo ranges } (1) Rtotal = +1.000000e-03 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (2) LRratio = +1.200000e+00 ( 0.000e+00 0.000e+00 ) { 0.000e+00 0.000e+00 } (3) log10(K_A) = +7.000000e+00 ( 1.000e+00 1.000e+01 ) { 1.000e+00 1.000e+01 } (4) k_2_A = +1.000000e+01 ( 1.000e-01 3.000e+03 ) { 1.000e-01 3.000e+03 } (5) w0_1 = +1.700000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (6) w0_2 = +1.750000e+03 ( 1.500e+03 2.000e+03 ) { 1.500e+03 2.000e+03 } (7) FWHH_1 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (8) FWHH_2 = +1.000000e+02 ( 1.000e+01 5.000e+02 ) { 1.000e+01 5.000e+02 } (9) ScaleFactor = +1.000000e+00 ( 1.000e-01 1.000e+01 ) { 1.000e-01 1.000e+01 }