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Installing multiple architectures for a package

Hi Simon,
My apologies for 32-bit 64-bit nomenclature mangling.  

I have Leopard on my Mac (sessionInfo below), and 16GB RAM, 
and mountains of data to process.  So having 64-bit capability 
allows me to get lots of processing done that would otherwise 
be painful.

I use a lot of Bioconductor packages, but they are not
providing ppc64 architecture with their binaries.

In a recent email (Nov 6, 2008 - inserted at end of this
email) you kindly offered to compile BioC packages
so that ppc64 architecture would be available.  Will
you be able to offer this?  If so, where will those
binary packages containing ppc64 architecture be
found - at your website or Bioconductor?

If not, then I need to figure all this out.
It is very convenient to install the bulk of
packages via the R.app package installer, but
then I have to do the ppc64 architecture additionally.
Since I use many Bioconductor packages, this is not
rare, unfortunately, since they do not offer ppc64
binaries.  Not all CRAN binaries include ppc64 either.

It appears that if I install binaries from R32.app,
then I have to add the ppc64 versions via command line
R --arch=ppc64 CMD INSTALL --libs-only packagename.tar.gz

Would it be possible to add a --libs-only option
to the R.app package installer to help automate this?

Thanks for your guidance

Steve M
R version 2.8.0 Patched (2008-11-06 r46845) 
powerpc-apple-darwin9.5.0 

locale:
en_CA.UTF-8/en_CA.UTF-8/C/C/en_CA.UTF-8/en_CA.UTF-8

attached base packages:
 [1] splines   grid      tools     stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] oligo_1.6.0              affxparser_1.14.0        VanillaICE_1.4.0         SNPchip_1.6.0           
 [5] oligoClasses_1.4.0       beadarraySNP_1.8.0       quantsmooth_1.8.0        lodplot_1.1             
 [9] quantreg_4.23            SparseM_0.78             beadarray_1.10.0         sma_0.5.15              
[13] hwriter_0.93             geneplotter_1.20.0       lattice_0.17-15          limma_2.16.3            
[17] illuminaHumanv3.db_1.1.2 lumi_1.8.3               RSQLite_0.7-1            DBI_0.2-4               
[21] preprocessCore_1.4.0     mgcv_1.4-1               affy_1.20.0              annotate_1.20.1         
[25] xtable_1.5-4             AnnotationDbi_1.4.1      Biobase_2.2.1           

loaded via a namespace (and not attached):
[1] KernSmooth_2.22-22 RColorBrewer_1.0-2 affyio_1.10.1