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2007 May 07
0
Analyzing "Stacked" Time Series
...;- lm(X ~ YO + YD + ZO + ZD) But anything involving lags is not correct, since it seems?at best?to be treating my ?stacked? time series (i.e., 6 series of length 10) as one series of length 60. For example, these give questionable, if any, output. arima1 <- arima(X, order = c(1, 0, 0)) fit.gls001 <- gls(X ~ YO + YD + ZO + ZD, correlation = corARMA(p = 2), method = "ML") fit.gls002 <- gls(X ~ YO + YD + ZO + ZD + lag(YO) + lag(YD) + lag(ZO) + lag(ZD), correlation = corARMA(p = 1), method = "ML") ar001 <- ar.ols(cbin(X, YO, YD, ZO, ZD)) Here is my example:...