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So letamp;#39;s use a function that will do all of these steps for us including the disentangling of the seasonal from the irregular data and see what it gives us. So Iamp;#39;m going to start a new variable called `fitadd` for fittingly an additive decomposition model. Weamp;#39;re going to use a function from base R called `decompose`. Weamp;#39;re going to give it our time series object and `NDVI.ts`, which contains our observed data. And weamp;#39;re going to specify that the `type` of decomposition we want it to conduct is `amp;quot;additiveamp;quot;`. And now you know what that means. Letamp;#39;s run it. And then letamp;#39;s plot what we just generated: `plot(fitadd)`. And so we have this pretty graph. Um, give me a second and Iamp;#39;m going to make it bigger for you on the screen. Alright, thatamp;#39;s better! What we have here now is on the top panel is our observed data; so this is what weamp;#39;ve been plotting all along. On the
