reconnect moved files to git repo

venv/lib/python3.11/site-packages/statsmodels/datasets/stackloss/__init__.py

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+__all__ = ["load", "load_pandas",
+           "COPYRIGHT", "TITLE", "SOURCE", "DESCRSHORT", "DESCRLONG", "NOTE"]
+from .data import (
+    load, load_pandas,
+    COPYRIGHT, TITLE, SOURCE, DESCRSHORT, DESCRLONG, NOTE)

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

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+"""Stack loss data"""
+from statsmodels.datasets import utils as du
+
+__docformat__ = 'restructuredtext'
+
+COPYRIGHT   = """This is public domain. """
+TITLE       = __doc__
+SOURCE      = """
+Brownlee, K. A. (1965), "Statistical Theory and Methodology in
+Science and Engineering", 2nd edition, New York:Wiley.
+"""
+
+DESCRSHORT  = """Stack loss plant data of Brownlee (1965)"""
+
+DESCRLONG   = """The stack loss plant data of Brownlee (1965) contains
+21 days of measurements from a plant's oxidation of ammonia to nitric acid.
+The nitric oxide pollutants are captured in an absorption tower."""
+
+NOTE        = """::
+
+    Number of Observations - 21
+
+    Number of Variables - 4
+
+    Variable name definitions::
+
+        STACKLOSS - 10 times the percentage of ammonia going into the plant
+                    that escapes from the absoroption column
+        AIRFLOW   - Rate of operation of the plant
+        WATERTEMP - Cooling water temperature in the absorption tower
+        ACIDCONC  - Acid concentration of circulating acid minus 50 times 10.
+"""
+
+
+def load():
+    """
+    Load the stack loss data and returns a Dataset class instance.
+
+    Returns
+    -------
+    Dataset
+        See DATASET_PROPOSAL.txt for more information.
+    """
+    return load_pandas()
+
+def load_pandas():
+    """
+    Load the stack loss data and returns a Dataset class instance.
+
+    Returns
+    -------
+    Dataset
+        See DATASET_PROPOSAL.txt for more information.
+    """
+    data = _get_data()
+    return du.process_pandas(data, endog_idx=0)
+
+
+def _get_data():
+    return du.load_csv(__file__, 'stackloss.csv').astype(float)

venv/lib/python3.11/site-packages/statsmodels/datasets/stackloss/stackloss.csv

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+"STACKLOSS","AIRFLOW","WATERTEMP","ACIDCONC"
+42,80,27,89
+37,80,27,88
+37,75,25,90
+28,62,24,87
+18,62,22,87
+18,62,23,87
+19,62,24,93
+20,62,24,93
+15,58,23,87
+14,58,18,80
+14,58,18,89
+13,58,17,88
+11,58,18,82
+12,58,19,93
+8,50,18,89
+7,50,18,86
+8,50,19,72
+8,50,19,79
+9,50,20,80
+15,56,20,82
+15,70,20,91