Hi,
I have two variables x and y and the functional relationship between x
and y is like: y=x^2+log(x). My question is that is it possible to
apply some method to reconstruct the functional form based on the
training data that is generated from it? I understand that there are
many methods for regresstion but none of them can predict the
functions that consist of operators.
For example in R:
x=seq(1:100)
y=x^2+log(x)
result=somemodel(x,y)
summary(result)
The output of the method is ideally a mathematical equation that fits
to the training data, e.g.
y=x^2+log(x)
Any ideas will be appreciated!
Best,
Jing
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
