R help - Jan 2004 - Spatial regression model

Hello,

is there a package which allows to fit a spatial regression model  for 
any k-dimensional data?
The spatial regression model is composed of three components:

y=mu+Z+epsilon,   

where mu is a low order polynomial, Z is a realization of a second-order 
stochastic process with covariance matrix Sigma and epsilon is a 
realization of a white-noise process. The covariance function belongs to 
the class of  either isotropic or anisotropic functions. Mean and 
covariance parameters are estimated simultaneously by ML or REML.

I hope somebody can answer my question.
Thank you!

Nadine Henkenjohann

On Wed, 7 Jan 2004, Nadine Henkenjohann wrote:
> Hello,
> 
> is there a package which allows to fit a spatial regression model  for 
> any k-dimensional data?
This site:

http://sal.agecon.uiuc.edu/csiss/Rgeo/index.html

tries to provide some guidance about the availability of packages for 
analysis of spatial data. The Geostatistics section of that site lists a 
number of packages perhaps relevant to your problem, but there are other 
possibilities too.

Roger
> The spatial regression model is composed of three components:
> 
> y=mu+Z+epsilon,   
> 
> where mu is a low order polynomial, Z is a realization of a second-order 
> stochastic process with covariance matrix Sigma and epsilon is a 
> realization of a white-noise process. The covariance function belongs to 
> the class of  either isotropic or anisotropic functions. Mean and 
> covariance parameters are estimated simultaneously by ML or REML.
> 
> I hope somebody can answer my question.
> Thank you!
> 
> Nadine Henkenjohann
> 
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-- 
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Breiviksveien 40, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 93 93
e-mail: Roger.Bivand at nhh.no