ENH: allow MulticlassClassifier to operate without combiner thus just spitting out all pair-wise predictions (without any voting)

work here is to superseed even more ad-hoc and fragile approach now
found under mvpa2/sandbox/multiclass
RF: Removing what was apparently copied/fixed in sandbox/multiclass.py
RF: no "combiner" -- no "estimates" in CombinedClassifier (and no warning)
RF: squeeze out the degenerate dimensions for pos/neg labels in pair-wise classifiers
RF: place labels for pair-wise results into a single fa matching original attribute (e.g. "targets") in tuples

our sensitivity analyzers already do the same
Tuples allow to have varying number of labels for each member, e.g.
if it was 1-vs-all
ENH: maintain GLM wrapper + enhance set of reported statistics with zstat

Added zstat at the end of the 'list' to maintain compatibility
Merge branch 'master' of https://github.com/yarikoptic/PyMVPA
ENH: function decorator to support lists or singleton element inputs
ENH: support 2D string arrays in NIML
PEP8: removed some spaces
Merge branch 'master' into _tent/niml
DOC: more documentation for NIML parser/printer
SML+RF: minor code cleanup suggested by @yarikoptic
BF+SML: when printing SUMA-offending NIML data print the first and last element, not the first and second
Merge pull request #166 from nno/_tent/niml

NF: NIML support for 2D strings
PEP8: fix spaces
BF: check Colorbar instance on the object istself, not object[0]
Merge branch 'master' into _bf/test_viz
Neu-Implementation von Paramer (mit Validierung)
Merge remote-tracking branch 'gh-master/master' into paraval