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This chapter introduces the Continuous ARMA models, i.e. CARMA(p,q), as a generalization of the ARMA time series when the time is continuous and the innovation follow a wide range of Lévy processes. Simulation and inference for this model is considered along with the fitting of real data to this model. Full R code for completing the above analyses with yuima package is provided.