Wald.mls                Wald test for Multivariate Least-Squares
                        regression
crossing                computes at which observation a vector y
                        crosses ref for the first time
diffe                   appends NA at beginning of diff(y)
ec.EG1                  estimates the VECM with the 2-stage procedure
                        of Engle & Granger
ec.companion            computes companion matrix of the VAR
ec.datadet1             prepares deterministics D^(1)
ec.datadet2             prepares deterministics D^(2)
ec.datalag              prepares Dy y_1 Dy_1 ... Dy_nlag-1 for
                        estimation
ec.gfd                  plots forecasts of difference with confidence
                        bars
ec.gfl                  plots level forecasts with confidence bars
ec.gfld                 ec.gfld plots forecasts of levels and
                        difference with confidence bars
ec.ifp                  Computes Indices of Forecast Performance
ec.main                 Forecast with Vector Error Correction Model
ec.plotfor              plots forecasts
ec.plotroots            Companion matrix of the VAR
ec.predict              produces predictions for the VECM via its VAR
                        companion form
ec.searchbreaks         search for breaks dates for given q (=1,2,3,4)
iculomb                 Data from Italian Civil Protection
lagn                    lag j of matrix or vector y
listsize                listsize number of terms in the search for
                        1,2,3,4 number of breaks
mls                     Multivariate Least-Squares regression
summary.cif             summary function for cif
