Re: [R] Alternatives to linear regression with multiple variables

2010-02-25 Thread David Winsemius
On Feb 22, 2010, at 7:46 AM, Guy Green wrote: I wonder if someone can give some pointers on alternatives to linear regression (e.g. Loess) when dealing with multiple variables. Taking any simple table with three variables, you can very easily get the intercept and coefficients with:

Re: [R] Alternatives to linear regression with multiple variables

2010-02-25 Thread Greg Snow
> -Original Message- > From: r-help-boun...@r-project.org [mailto:r-help-boun...@r- > project.org] On Behalf Of Guy Green > Sent: Monday, February 22, 2010 5:47 AM > To: r-help@r-project.org > Subject: [R] Alternatives to linear regression with multiple variables > > &

Re: [R] Alternatives to linear regression with multiple variables

2010-02-22 Thread Dieter Menne
Guy Green wrote: > > I wonder if someone can give some pointers on alternatives to linear > regression (e.g. Loess) when dealing with multiple variables. > > For two variables, there is also interp.loess in package tcp. It can be rather slow depending on the parameters, so I fear a generaliza

Re: [R] Alternatives to linear regression with multiple variables

2010-02-22 Thread Liaw, Andy
lf(X1, X2, X3), data=mydata) R> plot(fit) Andy > -Original Message- > From: r-help-boun...@r-project.org > [mailto:r-help-boun...@r-project.org] On Behalf Of Guy Green > Sent: Monday, February 22, 2010 7:47 AM > To: r-help@r-project.org > Subject: [R] Alternatives to

[R] Alternatives to linear regression with multiple variables

2010-02-22 Thread Guy Green
I wonder if someone can give some pointers on alternatives to linear regression (e.g. Loess) when dealing with multiple variables. Taking any simple table with three variables, you can very easily get the intercept and coefficients with: summary(lm(read_table)) For obvious reasons, the c