Performing regression using R & C

I have found "Numerical Recipes in C" to be extremely
helpful in my statistical studies.  OLS is described
in detail in this book.

Maybe just read the R code: src/library/stats/R/lm.R contains function 
lm.fit(), which is a wrapper for the Fortran subroutine dqrls(), and is 
about as finely honed as you get. It won't give you the standard errors, 
but you get the coefficients and the qr object, from which the rest can be 
constructed. Using well-supported and maintained code does save time too!

But maybe there are moving window functions around that you can use
without having to "roll your own", searching on "moving window" at
http://finzi.psych.upenn.edu/search.html gave 85 hits, including the
following, which you may find fruitful:

http://finzi.psych.upenn.edu/R/Rhelp02a/archive/26904.html

Roger
Best,

    Greg

--- Manoj - Hachibushu Capital <Wanzare at HCJP.com>
wrote:

Dear All,
	Is it possible to perform OLS using C code? I am
trying to
optimize a n-period "moving window" OLS on a huge
dataset hence was
wondering if such a thing is possible.

	Ideally the solution that I am looking for would
involve a
C-code accepting two float arrays and returning back
computed parameters
such as t-stat, coefficient etc. 

	I have glanced thru the FAQ's and tried to google
this
information but wasn't able to find anything truly
relevant, hence would
really appreciate your help on this one.

Thanks.

Manoj

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______________________________________________
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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

Performing regression using R & C

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