... 0 Starting SISUS, by Erik Barry Erhardt, http://StatAcumen.com/sisus 
... 0.003 Reading workbook:  SISUS_v01-07_BlairBearFriend2006_bears.xls 
   reading up to  14 sheets, as requested:   1r  2r  3r  4  5  6  7  8  9  10  11  12  13  14
... 9.846 Process input data and assign variables 

### SISUS Model Settings ### 
  m =  5  Mixtures 
  n =  8  Sources 
  k =  2  Isotopes 
  Include SIMPLEX (sum of proportions is 1) constraint -- for Mixing Model 
  NOT correcting source isotopic signatures for discrimination 
  NOT using SOURCE CONCENTRATIONS 
  NOT using ASSIMILATION EFFICIENCIES 
  NOT including additional LINEAR CONSTRAINTS 
  NOT using PRIOR, only uniform samples from solution polytope 
  NOT using ISOTOPE STDDEV 
  NOT using CONCENTRATION STDDEV 
  NOT using EFFICIENCY STDDEV 
  Mixtures are individuals (not a time series) 

### SISUS Model Assumptions (under development) ### 
  Mixing Model using Simplex 
  No discrimination or isotope values already corrected. 
  Elemental concentrations are the same for all sources and elements. 
  Assimilation efficiencies are the same for all sources and elements. 
  Solutions within solution polytope are equally likely. 
  No variance in isotope ratios in sources. 
  No variance in elemental concetrations in sources. 
  No variance in assimilation efficiencies. 

... 9.921 Set random seed = 13274 
... 9.923 Draw 0 samples from MVN isotope distribution 
... 10.024 Plot Augmented Convex Hull 

==> process Mixture:  Bear 1 
... 29.93 Draw uniform samples from convex solution polytope 
           Drawing 1 sample(s) of size 10000 for a total of  10000 samples: 
           1  
... 71.24 1  of  1  =  100 % of mvn samples lead to feasible solutions 
... 71.241 Back-solve from biomass to isotopes contributions 
... 82.604 Display mariginal histograms and Numerical summeries and Write out samples 
... 84.369 Display Scatterplot matrix 

==> process Mixture:  Bear 2 
... 144.092 Draw uniform samples from convex solution polytope 
           Drawing 1 sample(s) of size 10000 for a total of  10000 samples: 
           1  
... 179.99 1  of  1  =  100 % of mvn samples lead to feasible solutions 
... 179.991 Back-solve from biomass to isotopes contributions 
... 191.428 Display mariginal histograms and Numerical summeries and Write out samples 
... 192.844 Display Scatterplot matrix 

==> process Mixture:  Bear 3 
... 248.671 Draw uniform samples from convex solution polytope 
           Drawing 1 sample(s) of size 10000 for a total of  10000 samples: 
           1  
... 284.172 1  of  1  =  100 % of mvn samples lead to feasible solutions 
... 284.173 Back-solve from biomass to isotopes contributions 
... 295.312 Display mariginal histograms and Numerical summeries and Write out samples 
... 296.736 Display Scatterplot matrix 

==> process Mixture:  Bear 4 
... 351.428 Draw uniform samples from convex solution polytope 
           Drawing 1 sample(s) of size 10000 for a total of  10000 samples: 
           1  
... 386.999 1  of  1  =  100 % of mvn samples lead to feasible solutions 
... 387.001 Back-solve from biomass to isotopes contributions 
... 398.133 Display mariginal histograms and Numerical summeries and Write out samples 
... 399.539 Display Scatterplot matrix 

==> process Mixture:  Bear 5 
... 454.098 Draw uniform samples from convex solution polytope 
           Drawing 1 sample(s) of size 10000 for a total of  10000 samples: 
           1  
... 489.161 1  of  1  =  100 % of mvn samples lead to feasible solutions 
... 489.162 Back-solve from biomass to isotopes contributions 
... 500.382 Display mariginal histograms and Numerical summeries and Write out samples 
... 501.804 Display Scatterplot matrix 

... 559.264 SISUS Complete