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# definir la classe
# ensuite methode covMatrix
# pour prediction, rajouter covMat1Mat2
# pour estimation, rajouter
# - covparam2vect, vect2covparam
# - covparametersBounds
# - covMatrixDerivative
# pour EGO rajouter
# - covMatrix.dx, covDerivative.dx
# pour l'affichage, rajouter :
# - show
# - coefficients (alias coef)
# Pour la portabilite, penser a :
# - inputNames, nInput, nuggetValue, kernelNames, etc.
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