Hi gurus!

What I need to do is to find a model, which can predict what the *
observation* should look like given a *factor* input.

i am doing a simple linear fit in R:

lm(observation~0+factor, data=d), the R^2 is 0.002, which is really small.

however, when I do a 'SELECT AVG observation by 0.001 BRACKET factor',
there result is something like:

*factor* | *average observersion*

-0.003       -2

-0.002       -2

-0.001       -1

0.000         1

0.001         0

0.002         1
0.003         2


from a user perspective, i definitely see a pattern here, but somehow this
pattern is not captured by a linear model. Is my understanding correct?

so R gurus, which model do you suggest me to try for such data?

Thanks!


-- 
*CHEN*, Cheng

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