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R for Data Science | Quarto formats | Decompose the AirPassengers time series into trend, seasonal, and irregular components using STL (Seasonal-Trend decomposition using Loess). | ```r
library(stlplus)
stl_decomp <- stlplus(AirPassengers, s.window = 'periodic')
plot(stl_decomp)
``` |