weird results w/ prcomp-princomp

I am doing a Principal Component Analaysis (PCA) on a 44x19 matrix.
with

 > princomp(x,cor=TRUE,scores=TRUE)

and

 > prcomp(x,scale=TRUE,center=TRUE)

The resulted eigenv. and rotated matrix are the same (as expected), however 
the sum of eigenvalues is lower than 19 (number of variables).

x<-matrix(rnorm(44*19),nrow=44)
princomp(x,cor=TRUE,scores=TRUE)

sum(princomp(x,cor=TRUE,scores=TRUE)$sdev^2)

I am doing a Principal Component Analaysis (PCA) on a 44x19 matrix.
with

 > princomp(x,cor=TRUE,scores=TRUE)

and

 > prcomp(x,scale=TRUE,center=TRUE)

The resulted eigenv. and rotated matrix are the same (as expected), however 
the sum of eigenvalues is lower than 19 (number of variables).

With a commercial stat software it worked correctly, with the same dataset.
Am I doing something wrong?
Thanks
Alex



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