The documentation for "ginv" in MASS says it "Calculates the Moore-Penrose generalized inverse of a matrix 'X'." The theory says that for each m x n matrix A, there is a unique n x m matrix G satisfying AGA = A and GAG = G. (http://mathworld.wolfram.com/Moore-PenroseMatrixInverse.html).

Consider the following simple example:

A <- array(c(1,1,0,0), dim=c(2,2))
[2,] 0.0 0.0
A
    [,1] [,2]
[1,]    1    0
[2,]    1    0
ginv(A)
    [,1] [,2]
[1,]  0.5  0.5
[2,]  0.0  0.0
ginv(A)%*%A
    [,1] [,2]
[1,]    1    0
[2,]    0    0
A%*%ginv(A)
    [,1] [,2]
[1,]  0.5  0.5
[2,]  0.5  0.5
A%*%ginv(A)%*%A
    [,1] [,2]
[1,]    1    0
[2,]    1    0
ginv(A)%*%A%*%ginv(A)
    [,1] [,2]
[1,]  0.5  0.5
[2,]  0.0  0.0

hope this helps. spencer graves

alka seltzer wrote:

I'm rusty, but not *that* rusty here, I hope.

If W (=Z*Z' in your case) is singular, it can not


have >inverse, which by


definition also mean that nothing multiply by it will
produce the identity
matrix (for otherwise it would have an inverse and
thus nonsingular).

The definition of a generalized inverse is something
like: If A is a
non-null matrix, and G satisfy AGA = A, then G is
called a generalized
inverse of A. This is not unique, but a unique one
that satisfy some
additional properties is the Moore-Penrose inverse.


I >don't know if this is


what ginv() in MASS returns, as I have not used it
before.



Andy



The inverse of a Matrix A is defined as a Matrix B such that B*A=A*B=I and not just B*A=I. But there are matrices B for singular matrices A such that B*A=I but A*B != I, therefore there exist "left-inverses" (or "right-inverses") for non-invertable matrices.

Best Regards

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