%0 Generic
%A Capilla, Javier
%A Alcaraz, Alba
%A Valarezo Unda, Ángel Eduardo
%A García Hiernaux, Alfredo Alejandro
%A Pérez Amaral, Teodosio
%T Eco-RETINA: a green flexible algorithm for model building
%J Documentos de Trabajo del Instituto Complutense de Análisis Económico (ICEI)
%D 2025
%@ 2341-2356
%U https://hdl.handle.net/20.500.14352/117836
%X Eco-RETINA is an innovative and eco-friendly algorithm explicitly designed for out-of-sample prediction. Functioning as a regression-based flexible approximator, it is linear in parameters but nonlinear in inputs, employing a selective model search to optimize performance. The algorithm adeptly manages multicollinearity while emphasizing speed, accuracy, and environmental sustainability. Its modular and transparent structure facilitates easy interpretation and modification, making it an invaluable tool for researchers in developing explicit models for out-of-sample forecasting. The algorithm generates outputs such as a list of relevant transformed inputs, coefficients, standard deviations, and confidence intervals, enhancing its interpretability.
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