N. S. Altman, An introduction to kernel and nearest-neighbor nonparametric regression, The American Statistician, vol.46, pp.175-185, 1992.
DOI : 10.2307/2685209
URL : http://ecommons.cornell.edu/bitstream/1813/31637/1/BU-1065-MA.pdf

I. Andretta, C. Pomar, J. Rivest, J. Pomar, P. A. Lovatto et al., The impact of feeding growing-finishing pigs with daily tailored diets using precision feeding techniques on animal performance, nutrient utilization, and body and carcass composition, Journal of Animal Science, vol.92, issue.9, pp.3925-3936, 2014.
DOI : 10.2527/jas.2014-7643

A. Beygelzimer, S. Kakadet, J. Langford, S. Arya, D. Mount et al., FNN: Fast Nearest Neighbor Search Algorithms and Applications. R package version 1.1. https Modelling the variation in performance of a population of growing pig as affected by lysine supply and feeding strategy, Animal, vol.3, pp.1114-1123, 2009.

W. Claycombe and W. Sullivan, Fundamentals of forecasting, 1977.

J. H. Friedman, Multivariate Adaptive Regression Splines, The Annals of Statistics, vol.19, issue.1, pp.1-67, 1991.
DOI : 10.1214/aos/1176347963

L. Hauschild, P. A. Lovatto, J. Pomar, and C. Pomar, Development of sustainable precision farming systems for swine: Estimating real-time individual amino acid requirements in growing-finishing pigs, Journal of Animal Science, vol.90, issue.7, pp.2255-2263, 2012.
DOI : 10.2527/jas.2011-4252

M. Marcon, L. Brossard, and N. Quiniou, Precision feeding based on individual daily body weight of pigs with an automatic feeder developed to allow for restricting feed allowance, Proc. of the 7 th European conference on Precision Livestock Farming, pp.592-602, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01211066

S. Milborrow, Earth: multivariate adaptive regression spline models. R package version 4.4.9.1. URL http Nutrient requirements of swine, 10 th revised edition, CRAN.Rproject .org/package=earth National Research Council (NRC), 1998.

C. Pomar, L. Hauschildt, G. H. Zhang, J. Pomar, and P. A. Lovatto, Applying precision feeding techniques in growing-finishing pig operations, Revista Brasileira de Zootecnia, vol.54, issue.3, pp.226-237, 2009.
DOI : 10.4141/cjas74-084
URL : http://www.scielo.br/pdf/rbz/v38nspe/v38nspea23.pdf

N. Quiniou, L. Brossard, and M. Marcon, Assessment of the dynamic growth of the fattening pigs from body weight measured daily and automatically to elaborate precision feeding strategies, Proc. of the 8 th European conference on Precision Livestock Farming, XXXX and XXX (Ed), 2017.

R. Team, R: A language and environment for statistical computing. R Foundation for Statistical Computing, 2016.

S. Schliep, K. Hechenbichler, J. Valancogne, A. Dubois, S. Dourmad et al., kknn: Weighted k-Nearest Neighbors. R package version 1.3.1. https://CRAN.R-project.org/package=kknn van Milgen InraPorc: A model and decision support tool for the nutrition of growing pigs, Animal Feed Science and Technology, vol.143, pp.387-405, 2008.