 Ifeffit 1.0077 Copyright (c) 2003 Matt Newville, Univ of Chicago 
                 command-line shell version 1.1 with GNU Readline
  OLD
 FIT WEIGHT:  1 1  1.11221603
   feffit: not fitting until all data sets defined
 FIT WEIGHT:  1 2  0.0100568445
   feffit: not fitting until all data sets defined
 FIT WEIGHT:  1 3  0.100099492
   reading  ../feff/feffcu01.dat
   feffit fitting   3 data sets
   Feffit  276 92 1 3
   fitting ... 
 fitfun  0     0 1 1  1.11221603   92
 fitfun  92   92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492  92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
  estimating uncertainties ... fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 done.
 fitfun  0 0 1 1  1.11221603 92
 fitfun  92 92 1 2  0.0100568445 92
 fitfun  184 184 1 3  0.100099492 92
 fit took    5.00000000  iterations
 s02            =      0.92888570 +/-      0.02945143
 e0             =      0.46019196 +/-      0.34780805
 ss2            =      0.00345213 +/-      0.00018786
 dr             =      0.00016756 +/-      0.00172474
 chi_square     =     557.331493529
 r_factor       =       0.002034423
 epsilon_k      =       0.000795797
 epsilon_k      =       0.000795797
   correl_e0_dr =    0.829647
   correl_s02_ss2 =    0.860611
  NEW
 FIT WEIGHT:  1 1  0.100099492
 FIT WEIGHT:  2 1  0.100099492
 FIT WEIGHT:  3 1  0.100099492
   feffit fitting   1 data sets
   Feffit  276 92 3 1
   fitting ... fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
  estimating uncertainties ... fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 done.
 fitfun  0 0 1 1  0.100099492 92
 fitfun  0 92 2 1  0.100099492 92
 fitfun  0 184 3 1  0.100099492 92
 fit took    5.00000000  iterations
 s02            =      0.91326081 +/-      0.02290557
 e0             =      0.24997399 +/-      0.35993999
 ss2            =      0.00337393 +/-      0.00010938
 dr             =     -0.00055241 +/-      0.00119422
 chi_square     =    6302.546222611
 r_factor       =      60.676998455
 epsilon_k      =       0.000795797
 epsilon_k      =       0.000795797
   correl_e0_dr =    0.880517
   correl_s02_ss2 =    0.892612
