large data set, error: cannot allocate vector

Oops.  I was off by an order of magnitude.  I meant 10^7 and 10^8  
rows of data for the first and second data sets, respectively.

R > foo <- read.delim("dataset.010MM.txt")

R > summary(foo)
      X15623
Min.   :    1
1st Qu.: 8152
Median :16459
Mean   :16408
3rd Qu.:24618
Max.   :32766

Reloaded the 10MM set and ran an object.size:

R > object.size(foo)
[1] 440000376

So, 10 MM numbers in about 440 MB. (Are my units correct?)  That  
would explain why 10 MM numbers does work while 100 MM numbers won't  
work (4 GB limit on 32-bit machine).  If my units are correct, then  
each value would be taking up 4-bytes, which sounds right for a 4- 
byte word (8 bits/byte * 4-bytes = 32-bits.)

 From Googling the archives, the solution that I've seen for working  
with large data sets seems to be moving to a 64-bit architecture.   
Short of that, are there any other generic workarounds, perhaps using  
a RDBMS or a CRAN package that enables working with arbitrarily large  
data sets?

Regards,
- Robert
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