reconnect moved files to git repo

venv/lib/python3.11/site-packages/statsmodels/datasets/longley/data.py

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+"""Longley dataset"""
+from statsmodels.datasets import utils as du
+
+__docformat__ = 'restructuredtext'
+
+COPYRIGHT   = """This is public domain."""
+TITLE       = __doc__
+SOURCE      = """
+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.
+"""
+
+DESCRSHORT  = """"""
+
+DESCRLONG   = """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."""
+
+NOTE        = """::
+
+    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)
+"""
+
+
+
+def load():
+    """
+    Load the Longley data and return a Dataset class.
+
+    Returns
+    -------
+    Dataset
+        See DATASET_PROPOSAL.txt for more information.
+    """
+    return load_pandas()
+
+
+def load_pandas():
+    """
+    Load the Longley data and return a Dataset class.
+
+    Returns
+    -------
+    Dataset
+        See DATASET_PROPOSAL.txt for more information.
+    """
+    data = _get_data()
+    return du.process_pandas(data, endog_idx=0)
+
+
+def _get_data():
+    data = du.load_csv(__file__, 'longley.csv')
+    data = data.iloc[:, [1, 2, 3, 4, 5, 6, 7]].astype(float)
+    return data