I'm a beginner in R and, therefore, I don't know how serious my trouble is.
After running a script:

 **

*t**<-c(14598417794,649693)*

*data**=data.frame(read.spss("C:\\Ginters\\Kalibracija\\cal_data.sav"))*

*Xs=**as.matrix(data[,1:2])
* 

*koef**=data.frame(read.spss("C:\\Ginters\\Kalibracija\\f.sav"))
* 

*piks=**as.matrix(koef[,1**])*

*g=regressionestimator(Xs,piks,t)*

I get:

*Error: cannot allocate vector of size 1614604 Kb
In addition: Warning messages:
1: Reached total allocation of 255Mb: see help(memory.size) 
2: Reached total allocation of 255Mb: see help(memory.size) *

My OS is Win 2000 Proffesional.
Those 2 objects are of sizes

*> object.size(Xs)
[1] 805404
> object.size(piks)
[1] 115128*

accordingly. The 2 files use only 142KB and 60KB accordingly.
Why does memory need so much (1.6 GB) space? How can I enlarge it? Is it 
possible to allocate a part of memory used to the hard drive? Or, is the 
trouble only with my script?
 Best regards,
Ginters

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