BF: predict for cases when the ADC is multi-D and S0 is provided as a volume.
WIP: Initial commit of some DKI-related stuff.
TST: Starting to test the implementation of a by-direction ADC calculation.
NF: First-pass implementation of by-direction ADC. Still needs more testing.
DOC: Documentation of the ADC calculation.
TST: Another, more quantitative test of ADC calculation.
ENH: Much more work on DKI, based on Jensen, Helpern, Lu et al.
DOC: mostly added details to documentation of data-sets.
ENH: Added some DKI-type data. Refactored the calculation to rely on eq 38-39.

This is in Jensen and Helpern's paper. The idea being that you compare the
estimate of ADC in different b value to calculate a 'real' ADC and then use
that to bootstrap the calculation of ADK.
RF: Adapt to new prediction API from TensorFit.
Add data-files for DKI.
RF: moved a lot of the action into the __init__ of the Fit class.

Also : started to implement prediction for DKI.
WIP: Progress on predicting from DKI.

Still need to figure out a way to calculate diffusivity from the model itself.
WIP: Linear fit of the ADC based on the change in ADC with b val (linear).
BF:Add the nifti data-file to the repo
RF + BF: A few things

1. Rename some stuff
2. Use the MD estimated from tensors, using the same formula as for the ADC
3. In predict: use np.rollaxis to reshape the result of mutliplying the
parameters with the design-matrix, so that the output matches the data shape.