1. Correndo, A. A., Moro Rosso, L. H.,
Schwalbert, R., Hernandez, C., Bastos, L. M., Nieto, L., Holzworth, D.,
& Ciampitti, I. A. (2022). metrica: Prediction performance metrics.
https://CRAN.R-project.org/package=metrica
2. Revisiting linear regression to test
agreement in continuous predicted-observed datasets;Correndo;Agricultural Systems,2021
3. Kuhn, M., & Vaughan, D. (2022).
yardstick: Tidy characterizations of model performance.
https://CRAN.R-project.org/package=yardstick
4. Kuhn, M., & Wickham, H. (2020).
Tidymodels: A collection of packages for modeling and machine learning
using tidyverse principles.
https://www.tidymodels.org
5. Kuhn, M. (2022). caret:
Classification and regression training.
https://CRAN.R-project.org/package=caret