Null  Null Spaces of Matrices 
 Description
Given a matrix, M, find a matrix N giving a basis for the (left) null space. That is crossprod(N, M) = t(N) %*% M is an all-zero matrix and N has the maximum number of linearly independent columns. 
Usage
Null(M)
Arguments
| M | Input matrix. A vector is coerced to a 1-column matrix. | 
Details
For a basis for the (right) null space {x : Mx = 0}, use Null(t(M)). 
Value
The matrix N with the basis for the (left) null space, or a matrix with zero columns if the matrix M is square and of maximal rank. 
References
Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.
See Also
Examples
# The function is currently defined as
function(M)
{
    tmp <- qr(M)
    set <- if(tmp$rank == 0L) seq_len(ncol(M)) else  -seq_len(tmp$rank)
    qr.Q(tmp, complete = TRUE)[, set, drop = FALSE]
}
    Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.