BF(DOC): there is no .save in nibabel's Nifti1Image -- to_filename to be used
BF+TST: compatibility with numpy 1.7.1 -- use is_the_same_base helper more
BF: do not rely on identical FP results in a test_over_axis

since numpy 1.7.0, for performance improvements, order of summation
could be different thus affecting precise FP result value.
See
http://permalink.gmane.org/gmane.comp.python.numeric.general/54061
for more discussion/examples
ENH: Let's make us of coveralls
ENH: use neurodebian (not easy_install) to get nibabel

nipy.org is down atm... easy_install fails -- so why bother?
picked neurodebian setup from nipype"s .travis.yml -- thank you Satra ;-)
ENH: be verbose while installing coveralls -- otherwise no clue why failed
BF: pip install --user for coveralls
BF: add ~/.local/bin/ to the PATH for pip --user installed scripts
BF(TST): reseed right before CV and sensitivity analyzer call
otherwise classifiers such as skl.ExtraTreesClassifier() are rightfully
providing differing results. See e.g.
https://travis-ci.org/PyMVPA/PyMVPA/jobs/7136806
ENH: adding coveralls badge to README
ENH: Expand the horizon just a tiny bit to make failure even less probable ;)
Merge branch 'master' of https://github.com/PyMVPA/PyMVPA