## Quadratic model with 10% added noise.
## Omitting the "nls" curve,
## display orthogonal segments.
set.seed(123)
x <- 1:20
y <- 10 + 3*x^2
y <- y + rnorm(20, 0, 50)
DAT <- data.frame(x, y)
mod <- onls(y ~ a + b * x^2, data = DAT, start = list(a = 10, b = 3), extend = c(0.2, 0))
plot(mod, fitted.nls = FALSE)
## Due to different scaling,
## orthogonality of fit is not evident.
## We need to have equal x/y-scaling for that,
## using asp = 1!
plot(mod, fitted.nls = FALSE, xlim = c(0, 10),
ylim = c(0, 200), asp = 1)
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