M/PhDdZddlmZdZdZeZdZdZdZ dZ d Z d Z d Z d S) zLongley dataset)utilsrestructuredtextzThis is public domain.a5 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. zThe 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.aW:: 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) ctS) Load the Longley data and return a Dataset class. Returns ------- Dataset See DATASET_PROPOSAL.txt for more information. ) load_pandasa/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/statsmodels/datasets/longley/data.pyloadr -s ==r cJt}tj|dS)rr) endog_idx) _get_dataduprocess_pandasdatas r rr9s# ;;D TQ / / //r ctjtd}|jddgdft }|S)Nz longley.csv))rload_csv__file__ilocastypefloatrs r rrFsB ;x / /D 9QQQ---- . 5 5e < r*s,,,,,," *   + &    0 0 0r