C. Goyet, R. Adams, and G. Eischeid, Observations of the CO2 system properties in the tropical Atlantic Ocean, Marine Chemistry, vol.60, issue.1-2, pp.49-61, 1998.
DOI : 10.1016/S0304-4203(97)00081-9

C. J. Willmott and K. Matsuura, Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance, Climate Research, vol.30, pp.79-82, 2005.
DOI : 10.3354/cr030079

H. Abdi, The Method of Least Squares, Encyclopedia of Research Design, pp.705-708, 2010.

N. Lefèvre, D. F. Urbano, F. Gallois, and D. Diverrès, in the western tropical Atlantic, Journal of Geophysical Research: Oceans, vol.16, issue.8, pp.646-663, 2014.
DOI : 10.1029/2001GL013869.

S. H. Brown, Multiple Linear Regression Analysis: A Matrix Approach with MATLAB, ALABAMA JOURNAL OF MATHE- MATICS, 2009.

S. L. Baker, Simple Regression Theory I, Lecture notes, 2010.

S. Seung, Multilayer perceptrons and backpropagation learning, 2002.

T. Chai and R. R. Draxler, Root mean square error (RMSE) or mean absolute error (MAE)?, Geoscientific Model Development Discussions, vol.7, issue.1, pp.1525-1534, 2014.
DOI : 10.5194/gmdd-7-1525-2014

URL : http://doi.org/10.5194/gmdd-7-1525-2014