You can find the info in ?numeric, which says:
Note:
_R has no single precision data type. All real numbers are stored
in double precision format_. ...
I suspect the most likely difference is in the actual algorithms used for
the least squares computation. AFAIK SAS uses the sweep operator on the
extended cross-product matrix, whereas lm() in R uses QR decomposition on
the X matrix.
You can read Prof. Bates' article on least squares computations in R in the
most recent issue of the R News, available on www.r-project.org.
HTH,
Andy
> From: [EMAIL PROTECTED]
>
> Greetings.
>
> I'm trying to recreate in R some regression models I've done in SAS,
> but I'm not getting the same results. My advisor suspects
> this may be
> due to differences in precision between R and SAS. Does anyone know
> where I can find specifications for R's type double? (It
> doesn't seem
> to be in the R Language Definition.) Thanks in advance for any help
> anyone can provide.
>
> Aaron
>
> -------------
> Aaron Solomon (ben Saul Joseph) Adelman
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