## Quadratic model with 10% added noise.
## Omitting the "nls" curve,
## display orthogonal segments.
x <- 1:20
y <- 10 + 3*x^2
y <- sapply(y, function(a) rnorm(1, a, 0.1 * a))
DAT <- data.frame(x, y)
mod <- onls(y ~ a + b * x^2, data = DAT, start = list(a = 1, b = 1))
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:
plot(mod, fitted.nls = FALSE, xlim = c(0, 50),
ylim = c(0, 50))
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