Example data sources and reuse record

The MIT license covers the package code. The examples below contain public
summary data from the cited papers. On 2026-10-10, John Ennis confirmed that
the data are public and approved their inclusion in these distributions.
This record does not assign a new license to the source publications.

piepho2004_wheat_pairs.csv / piepho2004_wheat
Source: Piepho (2004), An Algorithm for a Letter-Based Representation of All-
Pairwise Comparisons, doi:10.1198/1061860043515; reproduced in Table 7 of
Ennis, Fayle, and Ennis (2012), Assignment-Minimum Clique Coverings,
doi:10.1145/2133803.2275596.
Content: significant/non-significant decisions for the 190 unordered pairs of
20 wheat treatments. The repository stores these decisions as CSV rows.
R data-raw/datasets.R reads labels as text and decisions as logical values,
then saves the same rows as piepho2004_wheat.rda. Python examples copy the CSV.
Reuse record: maintainer confirmation and approval on 2026-10-10.

simple_abc_to_ac_pairs.csv / simple_abc_pairs
simple_abc_to_ac_means.csv / simple_abc_means
Source: Ennis, Fayle, and Ennis (2012), Assignment-Minimum Clique Coverings,
doi:10.1145/2133803.2275596. The R help pages attribute the five-group
ABC-to-AC teaching example and its means to this paper.
Content: ten pairwise decisions and five numeric means. R data-raw/datasets.R
reads the CSV files and saves the corresponding data frames. Python examples
copy the CSV files.
Reuse record: maintainer confirmation and approval on 2026-10-10.

Retain this source record with the example data.

Distribution scope
The R archive contains both example data sets. The Python source archive contains
their CSV files. The Python wheel omits the CSV files but includes simple-example
output from the README in its metadata. The npm archive contains no wheat data,
but its README reproduces the simple five-group example.