Description Usage Arguments Details Value Author(s) Examples
Compute the (right or left) nullspace of matrix using a (semi-complete) Singular Value Decomposition.
1 |
A |
a numeric matrix. |
type |
|
tol |
tolerance multiple of the first singular value to determine if subsequent singular values are (sufficiently) positive to be determined greater than zero. |
This implementation is fastest on matrices with more rows than columns such as a typical design matrix for a linear model.
a matrix with as many rows as there are columns in A
. The
number of columns (which may be zero) determine the dimensionality of the
nullspace of A
.
Rune Haubo B. Christensen
1 | # FIXME: We need some examples here
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