Added PID in *diff.csv
Read *diff training data, and find liblinear PREF model (feature reduction with drop1)
Resampling liblinear training data w.r.t. weights based on optimality or best/worst case scenario
Remove redundant files
Best and worst case scenario when going off optimal trajectory
Probability individual features are optimal
Stepwise optimality and uniqueness of solutions
10x10 training data for j.rndn (update)
PREF models with drop1 based feature selection
Copyright form
Signed copyright form
Update figures
Include bibliography in tex source, enlarge figures, rearrange tables
Camera ready
Update R script for paper
Added reference
Updated references
Temp models from csharp
Updated R scripts
Reformat files