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non port: head/math/py-statsmodels/Makefile
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Number of commits found: 2

Mon, 10 Mar 2014
[ 20:55 gerald ] Original commit 
347809 archivers/hs-tar/Makefile
347809 archivers/hs-zip-archive/Makefile
347809 archivers/hs-zlib-bindings/Makefile
347809 archivers/hs-zlib-conduit/Makefile
347809 archivers/hs-zlib-enum/Makefile
347809 archivers/hs-zlib/Makefile
347809 astro/R-cran-maptools/Makefile
347809 astro/astrometry/Makefile
347809 astro/nightfall/Makefile
347809 astro/py-RO/Makefile

(Only the first 10 of 1081 ports in this commit are shown above. View all ports for this commit)
Update the default version of GCC used in the Ports Collection from
GCC 4.6.4 to GCC 4.7.3.  This entails updating the lang/gcc port as
well as changing the default in Mk/bsd.default-versions.mk.

Part II, Bump PORTREVISIONs.

PR:		182136
Supported by:	Christoph Moench-Tegeder <cmt@burggraben.net> (fixing many ports)
Tested by:	bdrewery (two -exp runs)
Fri, 22 Nov 2013
[ 12:40 wg ] Original commit 
334582 math/Makefile
334582 math/py-statsmodels
334582 math/py-statsmodels/Makefile
334582 math/py-statsmodels/distinfo
334582 math/py-statsmodels/pkg-descr
334582 math/py-statsmodels/pkg-plist
math/py-statsmodels: Complement to SciPy for statistical computations

Statsmodels is a Python package that provides a complement to scipy for
statistical computations including descriptive statistics and estimation and
inference for statistical models.

Main Features:
* linear regression models: GLS (including WLS and LS aith AR errors) and OLS.
* glm: Generalized linear models with support for all of the one-parameter
  exponential family distributions.
* discrete: regression with discrete dependent variables, including Logit,
  Probit, MNLogit, Poisson, based on maximum likelihood estimators
* rlm: Robust linear models with support for several M-estimators.
* tsa: models for time series analysis - univariate: AR, ARIMA; multivariate:
  VAR and structural VAR
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Number of commits found: 2

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