This script provides a forward-stepwise algorithm used to identify the best combination of features that maximizes the Fisher's distance between two classes of data. Selected features are synthetizied into a composite index (Cindex). In the example, the feratures are a a set of climate-related variables and the resulting composite index represent the combination of specific, selected features, that maximize the distance between exceptional high and low olive yields over Italy in the period 2006-2020. Rationale and further details are presented in: Di Paola, A., Di Giuseppe, E., Gutierrez, A P., Ponti, L., & Pasqui, M. (2023). Climate stressors modulate interannual olive yield at province level in Italy: A composite index approach to support crop management. Journal of Agronomy and Crop Science, 00, 1– 14. https://doi.org/10.1111/jac.12636 Please cite the aforementioned article to fully exploiuy ther Creative Commons Licence

{"references": ["Di Paola, A., Di Giuseppe, E., Gutierrez, A P., Ponti, L., & Pasqui, M. (2023). Climate stressors modulate interannual olive yield at province level in Italy: A composite index approach to support crop management. Journal of Agronomy and Crop Science, 00, 1\u2013 14. https://doi.org/10.1111/jac.12636"]}