Nothing
d <- generateFakeData()
# generate design matrix, variable of interest, area indicator and population data
dat <- fSAE(y0 ~ x + area2, data=d$sam, area="area", popdata=d$Xpop,
type="data")
# compute small area estimates based on the basic unit-level model
sae <- fSAE.Unit(dat$y, dat$X, dat$area, dat$Narea, dat$PopMeans)
EST(sae) # estimates
RMSE(sae) # standard errors
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