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We report the characterisation of honey samples produced in Córdoba (Argentina) and their classification by geographical provenance (North/South) using chemometrics. Twenty-two variables were analysed considering both chemical properties and mineral profile. Honey samples were found to meet the international specifications for the evaluated parameters. Classification of honey in according to its geographical provenance (North/South) was achieved by pattern recognition techniques applied to 15 out of 22 variables. Glucose, pH, free acidity, free amino acids, calcium and zinc were selected by stepwise discriminant analysis, explaining the classification of honey according to their geographical origin. Application of k-nearest-neighbour classification procedure to these six selected variables produced a successful assignation (99% correct) of honey to its provenance. On the other hand only 83% right …