data(hue)
## Second degree polynomial model with random intercept, slope and
## quadratic term
if (FALSE) {
fm1 <- lcc(data = hue, subject = "Fruit", resp = "H_mean",
method = "Method", time = "Time", qf = 2, qr = 2,
components = TRUE)
fitted(fm1)
fitted(fm1, type="lpc")
fitted(fm1, type="la")
}
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