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I have some multiple linear models without intercept like below:

Y = a*X1 + b*X2 + c*X3

However this model is a linear model, but since it does not have an intercept we have to write it as a non-linear model in R:

model1= nls(Y ~ a*X1+b*X2, data = trainDat, start = list(a = 1, b=1))

The problem is that the summary(model1) does not give us the statistics of the model like F-statistics because it is not lm. How can we report the significance of these models in R?

Zheyuan Li
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user3904453
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    You can fit a linear, no-intercept model with `lm(Y ~ X1 + X2 + X3 - 1)`. – Hong Ooi Jun 17 '15 at 14:57
  • An f-test is just one of many things `summary.lm` does. You can do an f-test on a nls object with `var.test(...)` – Señor O Jun 17 '15 at 15:11
  • Thank you for your response. I did not get your meaning regards to your point about F-test on a nls model. The function could be var(model1) in my case? It does not work! – user3904453 Jun 17 '15 at 15:21
  • I know this is not the place to talk about statistics but what's the point to do not fit a linear model just because "it does not have an intercept"? that's meaningless. – SabDeM Jun 17 '15 at 15:52

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