Applying interval PCA and clustering to :empirical distributions of fertilizer cost quantile estimates for yearly crops in European Countries[Application de l'ACP par intervalles et de la classification aux distributions empiriques des estimations quantiles du coût des engrais pour les cultures annuelles dans les pays européens]

After recalling the conceptual framework of the estimation of agricultural production costs, we present the empirical data model, the quantile regression approach and the interval principal component analysis and clustering tools used to obtain typologies of European countries on the basis of the conditional quantile distributions of fertilizer cost empirical estimates issued from FADN data.