GetLinInd: Extracting the linearly independant columns from a matrix
In mipfp: Multidimensional Iterative Proportional Fitting and Alternative Models

Description Usage Arguments Value Author(s) References See Also Examples

Extracts the linearly dependant columns of matrix to obtain a matrix of full rank using QR decomposition.

1	GetLinInd(mat, tol = 1e-10)

`mat`	The matrix possibly containing linearly dependant columns
`tol`	Rank estimation tolerance. Default is 1e-10.

A list containing the new matrix and the index of the selected colums.

`mat.li`	A matrix made of the linearly independant columns of `mat`.
`idx`	The index of the selected columns.

Johan Barthelemy

Maintainer: Johan Barthelemy johan@uow.edu.au.

Golub, G. H., Van Loan C. F. (2012) Matrix Computations. Third Edition. Johns Hopkins University Press.

qr.

# generation of a matrix with linearly dependant columns
A <- matrix(c(1, 2, 3,
              1, 2, 4,
              1, 2, 8), nrow = 3, ncol = 3, byrow = TRUE)
              
# extracting and printing the linearly independant columns
B <- GetLinInd(A)
print(B)