The turflp Python package is Copyright (c) 2021-2026 Aigora and licensed
under the MIT License. See the LICENSE file.

The example data sets in turflp/datasets are copies of the data sets in the
turfLP R package (https://github.com/aigorahub/turfLP). The data sets
icecream, chips, and cafe are simulated and licensed under the MIT License.

The other data sets come from public data under their own licenses. Each
was changed as described in the R package help pages and in data-raw/real.R
in that repository.

ham
  Berget, I. (2024). Dataset on rapid sensory methods for cured hams and
  associations with consumer values in the Schwartz model [Data set].
  Zenodo. https://doi.org/10.5281/zenodo.10996096
  License: Creative Commons Attribution 4.0 International (CC BY 4.0),
  https://creativecommons.org/licenses/by/4.0/

coffee
  Ristenpart, W., Cotter, A. R., & Guinard, J.-X. (2023). Consumer
  preference data for black coffee [Data set]. Dryad.
  https://doi.org/10.25338/B8993H
  License: CC0 1.0 Universal Public Domain Dedication,
  https://creativecommons.org/publicdomain/zero/1.0/

pies
  FiveThirtyEight (2015). thanksgiving-2015 [Data set].
  https://github.com/fivethirtyeight/data/tree/master/thanksgiving-2015
  License: Creative Commons Attribution 4.0 International (CC BY 4.0),
  https://creativecommons.org/licenses/by/4.0/

lunchbags
  Chen, D. (2015). Online Retail [Data set]. UCI Machine Learning
  Repository. https://doi.org/10.24432/C5BW33
  License: Creative Commons Attribution 4.0 International (CC BY 4.0),
  https://creativecommons.org/licenses/by/4.0/
