ó áp7]c@sbdZddlmZdZdZeZdZdZdZ dZ d d „Z d „Z d „Zd S( sLongley datasetiÿÿÿÿ(tutilstrestructuredtextsThis is public domain.s5 The classic 1967 Longley Data http://www.itl.nist.gov/div898/strd/lls/data/Longley.shtml :: Longley, J.W. (1967) "An Appraisal of Least Squares Programs for the Electronic Comptuer from the Point of View of the User." Journal of the American Statistical Association. 62.319, 819-41. ts¬The Longley dataset contains various US macroeconomic variables that are known to be highly collinear. It has been used to appraise the accuracy of least squares routines.sW:: Number of Observations - 16 Number of Variables - 6 Variable name definitions:: TOTEMP - Total Employment GNPDEFL - GNP deflator GNP - GNP UNEMP - Number of unemployed ARMED - Size of armed forces POP - Population YEAR - Year (1947 - 1962) cCstjtƒd|ƒS(s\ Load the Longley data and return a Dataset class. Parameters ---------- as_pandas : bool Flag indicating whether to return pandas DataFrames and Series or numpy recarrays and arrays. If True, returns pandas. Returns ------- Dataset instance See DATASET_PROPOSAL.txt for more information. t as_pandas(tdutas_numpy_datasett load_pandas(R((s@lib/python2.7/site-packages/statsmodels/datasets/longley/data.pytload-scCstƒ}tj|ddƒS(s  Load the Longley data and return a Dataset class. Returns ------- Dataset instance See DATASET_PROPOSAL.txt for more information. t endog_idxi(t _get_dataRtprocess_pandas(tdata((s@lib/python2.7/site-packages/statsmodels/datasets/longley/data.pyR?s c CsMtjtdƒ}|jdd…dddddddgfjtƒ}|S( Ns longley.csviiiiiii(Rtload_csvt__file__tiloctastypetfloat(R ((s@lib/python2.7/site-packages/statsmodels/datasets/longley/data.pyR Ls7N(t__doc__tstatsmodels.datasetsRRt __docformat__t COPYRIGHTtTITLEtSOURCEt DESCRSHORTt DESCRLONGtNOTEtNoneRRR (((s@lib/python2.7/site-packages/statsmodels/datasets/longley/data.pyts