GDP=scan(“/Users/stevensabol/Desktop/R/gdp.csv”)Read 258 items> GDP=ts(GDP,start=1,frequency=4)> dlGDP=diff(log(GDP))> plot(stl(log(GDP),”per”))
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This allows us to do a structural decompositionlog(GDP) = trend + season + error
Here is the business.