Added RSquared class (and test - in TD like you mean it style) to the project.
Added license comments to file.
GoodnessOfFit: benchmarking indicates pearson correlation is twice as fast
Distance: add Pearson's distance
GoodnessOfFit: docs, add R value
Statistics: comment in Correlation.Person on robustness
Correlation: optimize Spearman ranked correlation algorithm #171
Distance: add Canberra distance
Distance: add Minkowski distance (generalized p-norm)
Fit: weighted MultiDim and weighted Polynomial
Linear Regression: use more efficient LA routines (via tibel)
Meta: update Vagrantfile, DotSettings, git attributes
LA: Matrix.ClearSubMatrix should nop-return instead of fail on empty/negative selection
LA: extend diagonal matrix builder
LA: dense-diagonal Add Subtract Multiply
LA: dense-diagonal TransposeAndMultiply
LA: dense-diagonal TransposeThisAndMultiply
LA: Build.SameType of one or two example instances
LA: diagonal-dense Multiply TransoseAndMultiply TransposeThisAndMultiply
LA: diagonal matrix-vector Multiply LeftMultiply/TransposeThisAndMultiply