On 11/08/2010 6:15 AM, szisziszilvi wrote:
Hello!
Is there a simplier way in R to get a nonlinear regression (like nls) for a
surface? I have 3D data, and it is definitely not a linear surface with
which it would fit the best. Rather sg like z = a + f(x) + g(y) where
probably both f and g are polinomes (hopefully quadratic).
That's a linear model if f and g are polynomials. You can fit it with
lm(z ~ poly(x, 2) + poly(y, 2))
The 2's are the degrees of each polynomial; the intercept a is implied.
Duncan Murdoch
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