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#START
in.updated<-FALSE

# get input data
in.t <- matrix(c(1,2,3,4,5,6,7,8,9,10,11,12))
in.obs <- matrix(c(1.1,1.2,0.9,0.8,1,1.1,1,1.15,1.2,1.1,1,1))

# generate a time series object
x<-as.ts(in.obs)

# try using the holt-winters model, with no seasonality
fit<-HoltWinters(x, gamma = FALSE, beta = FALSE)

# generate a forecast
p <- predict(fit, 2, prediction.interval = TRUE, level = 0.95,)

#END

#