Template-type: ReDIF-Paper 1.0
Author-Name: Capilla, Javier
Author-Workplace-Name: Instituto Complutense de Análisis Económico (ICAE), Universidad Complutense de Madrid (Spain). 
Author-Name: Alcaraz, Alba
Author-Workplace-Name: Instituto Complutense de Análisis Económico (ICAE), Universidad Complutense de Madrid (Spain).
Author-Name: Valarezo, Ángel
Author-Person: pva884
Author-Workplace-Name: Instituto Complutense de Análisis Económico (ICAE), Universidad Complutense de Madrid (Spain).
Author-Name: García-Hiernaux, Alfredo
Author-Workplace-Name: Instituto Complutense de Análisis Económico (ICAE), Universidad Complutense de Madrid (Spain).
Author-Name: Pérez Amaral, Teodosio
Author-Email: teodosio@ccee.ucm.es
Author-Person: ppe568
Author-Workplace-Name: Instituto Complutense de Análisis Económico (ICAE), Universidad Complutense de Madrid (Spain).
Title: Eco-RETINA: a green flexible algorithm for model building
Abstract: 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.
Classification-JEL: C14, C45, C51, C63.
Keywords: Eco-RETINA; Out-of-sample prediction.
Length: 30 pages 
Creation-Date: 2025
Number: 2025-01
X-File-Ref: http://america.sim.ucm.es/repec/ucm/ref/doicae2501.txt
File-URL: https://hdl.handle.net/20.500.14352/117836
File-Format: Application/html
Handle: RePEc:ucm:doicae:2501