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Date:      Fri, 22 Nov 2013 12:40:09 +0000 (UTC)
From:      William Grzybowski <wg@FreeBSD.org>
To:        ports-committers@freebsd.org, svn-ports-all@freebsd.org, svn-ports-head@freebsd.org
Subject:   svn commit: r334582 - in head/math: . py-statsmodels
Message-ID:  <201311221240.rAMCe9b7079515@svn.freebsd.org>

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Author: wg
Date: Fri Nov 22 12:40:09 2013
New Revision: 334582
URL: http://svnweb.freebsd.org/changeset/ports/334582

Log:
  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
  * nonparametric: (Univariate) kernel density estimators
  * datasets: Datasets to be distributed and used for examples and in testing.
  * stats: a wide range of statistical tests, diagnostics and specification tests
  * iolib: Tools for reading Stata .dta files into numpy arrays, printing table
    output to ascii, latex, and html
  * miscellaneous models
  * sandbox: statsmodels contains a sandbox folder with code in various stages of
  * developement and testing which is not considered "production ready", including
    Mixed models, GARCH and GMM estimators, kernel regression, panel data models.
  
  WWW: https://www.github.com/statsmodels/statsmodels
  
  PR:		ports/183932
  Submitted by:	Johannes Jost Meixner <xmj chaot.net>

Added:
  head/math/py-statsmodels/
  head/math/py-statsmodels/Makefile   (contents, props changed)
  head/math/py-statsmodels/distinfo   (contents, props changed)
  head/math/py-statsmodels/pkg-descr   (contents, props changed)
  head/math/py-statsmodels/pkg-plist   (contents, props changed)
Modified:
  head/math/Makefile

Modified: head/math/Makefile
==============================================================================
--- head/math/Makefile	Fri Nov 22 12:06:57 2013	(r334581)
+++ head/math/Makefile	Fri Nov 22 12:40:09 2013	(r334582)
@@ -568,6 +568,7 @@
     SUBDIR += py-pymc
     SUBDIR += py-roman
     SUBDIR += py-scientific
+    SUBDIR += py-statsmodels
     SUBDIR += py-svgmath
     SUBDIR += py-symeig
     SUBDIR += py-sympy

Added: head/math/py-statsmodels/Makefile
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-statsmodels/Makefile	Fri Nov 22 12:40:09 2013	(r334582)
@@ -0,0 +1,58 @@
+# Created by: Johannes Meixner <xmj@chaot.net>
+# $FreeBSD$
+
+PORTNAME=	statsmodels
+PORTVERSION=	0.5.0
+CATEGORIES=	math python
+MASTER_SITES=	CHEESESHOP
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	xmj@chaot.net
+COMMENT=	Complement to SciPy for statistical computations
+
+LICENSE=	BSD
+
+BUILD_DEPENDS=	${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy \
+		${PYTHON_PKGNAMEPREFIX}pandas>0:${PORTSDIR}/math/py-pandas \
+		${PYTHON_PKGNAMEPREFIX}patsy>0:${PORTSDIR}/math/py-patsy
+RUN_DEPENDS=	${PYNUMPY} \
+		${PYTHON_PKGNAMEPREFIX}scipy>0:${PORTSDIR}/science/py-scipy \
+		${PYTHON_PKGNAMEPREFIX}pandas>0:${PORTSDIR}/math/py-pandas \
+		${PYTHON_PKGNAMEPREFIX}patsy>0:${PORTSDIR}/math/py-patsy
+
+OPTIONS_DEFINE=	DOCS EXAMPLES
+DOCSDIR=	${PREFIX}/share/doc/py-${PORTNAME}
+EXAMPLESDIR=	${PREFIX}/share/doc/py-${PORTNAME}
+
+USE_PYTHON=		yes
+USE_PYDISTUTILS=	yes
+PLIST_SUB=	PYDISTUTILS_EGGINFO=${PYDISTUTILS_EGGINFO}
+PYTHON_P3K_PLIST_HACK=	yes
+PYDISTUTILS_NOEGGINFO=	yes
+PORTDOCS=	* .buildinfo
+PORTEXAMPLES=	*
+
+.include <bsd.port.options.mk>
+
+.if ${PORT_OPTIONS:MDOCS}
+BUILD_DEPENDS+=	sphinx-build:${PORTSDIR}/textproc/py-sphinx \
+	${PYTHON_PKGNAMEPREFIX}matplotlib>0:${PORTSDIR}/math/py-matplotlib \
+	ipython:${PORTSDIR}/devel/ipython
+
+PYDISTUTILS_BUILD_TARGET+=	build_sphinx
+.endif
+
+post-install:
+	${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/nonparametric/_smoothers_lowess.so
+	${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/nonparametric/linbin.so
+	${STRIP_CMD} ${STAGEDIR}${PYTHON_SITELIBDIR}/${PORTNAME}/tsa/kalmanf/kalman_loglike.so
+.if ${PORT_OPTIONS:MDOCS}
+	${MKDIR} ${STAGEDIR}${DOCSDIR}
+	${INSTALL_DATA} ${WRKSRC}/README.txt ${WRKSRC}/README_l1.txt ${STAGEDIR}${DOCSDIR}
+	cd ${WRKSRC}/build/sphinx/html && ${COPYTREE_SHARE} . ${STAGEDIR}${DOCSDIR}
+.endif
+	${MKDIR} ${STAGEDIR}${EXAMPLESDIR}
+	cd ${WRKSRC}/examples && ${COPYTREE_SHARE} . ${STAGEDIR}${EXAMPLESDIR}
+
+.include <bsd.port.mk>

Added: head/math/py-statsmodels/distinfo
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-statsmodels/distinfo	Fri Nov 22 12:40:09 2013	(r334582)
@@ -0,0 +1,2 @@
+SHA256 (statsmodels-0.5.0.tar.gz) = 65398518bdd414c712362738e61d34ee5ec07b4c084bba17c65af5f20ae109d0
+SIZE (statsmodels-0.5.0.tar.gz) = 5519668

Added: head/math/py-statsmodels/pkg-descr
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-statsmodels/pkg-descr	Fri Nov 22 12:40:09 2013	(r334582)
@@ -0,0 +1,24 @@
+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
+* nonparametric: (Univariate) kernel density estimators
+* datasets: Datasets to be distributed and used for examples and in testing.
+* stats: a wide range of statistical tests, diagnostics and specification tests
+* iolib: Tools for reading Stata .dta files into numpy arrays, printing table
+  output to ascii, latex, and html
+* miscellaneous models
+* sandbox: statsmodels contains a sandbox folder with code in various stages of
+* developement and testing which is not considered "production ready", including
+  Mixed models, GARCH and GMM estimators, kernel regression, panel data models. 
+
+WWW: https://www.github.com/statsmodels/statsmodels

Added: head/math/py-statsmodels/pkg-plist
==============================================================================
--- /dev/null	00:00:00 1970	(empty, because file is newly added)
+++ head/math/py-statsmodels/pkg-plist	Fri Nov 22 12:40:09 2013	(r334582)
@@ -0,0 +1,2123 @@
+%%PYTHON_SITELIBDIR%%/statsmodels/LICENSE.txt
+%%PYTHON_SITELIBDIR%%/statsmodels/TODO.txt
+%%PYTHON_SITELIBDIR%%/statsmodels/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/api.py
+%%PYTHON_SITELIBDIR%%/statsmodels/api.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/api.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_cvxopt.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_cvxopt.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_cvxopt.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_slsqp.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_slsqp.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_slsqp.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_solvers_common.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_solvers_common.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/l1_solvers_common.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/model.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/model.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/model.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_optimize.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_optimize.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_optimize.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_shrink_pickle.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_shrink_pickle.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/tests/test_shrink_pickle.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/base/wrapper.py
+%%PYTHON_SITELIBDIR%%/statsmodels/base/wrapper.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/base/wrapper.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/collections.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/collections.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/collections.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/counter.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/counter.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/counter.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/iter_compat.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/iter_compat.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/iter_compat.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/np_compat.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/np_compat.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/np_compat.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/ordereddict.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/ordereddict.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/ordereddict.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/py3k.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/py3k.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/py3k.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_collections.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_collections.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_collections.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_itercompat.py
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_itercompat.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/compatnp/tests/test_itercompat.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/COPYING
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/README.txt
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/anes96.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/anes96/src/anes96.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/cancer.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cancer/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/R_wls.s
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/ccard.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/src/ccard.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/ccard/src/names.txt
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/R_committee.s
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/committee.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/committee/src/committee.dat
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/copper.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/copper/src/copper.dat
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/R_cpunish.s
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/cpunish.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/cpunish/src/cpunish.dat
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/elnino.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/elnino/src/elnino.dat
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/engel/engel.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/fair.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/fair/src/1978ADAT.asc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/grunfeld.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/grunfeld/src/grunfeld.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/heart/heart.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/R_gls.s
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/R_lm.s
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/longley/longley.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/macrodata.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/macrodata.dta
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/src/macrodata.xls/macrodata.xls
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/macrodata/src/unemp.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/data.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/data.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/nile/nile.csv
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/randhie/__init__.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/randhie/__init__.pyc
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/randhie/__init__.pyo
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/randhie/data.py
+%%PYTHON_SITELIBDIR%%/statsmodels/datasets/randhie/data.pyc
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*** DIFF OUTPUT TRUNCATED AT 1000 LINES ***



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