Rank: linearly independent columns of a matrix of maximum, or maximum linear independent rows;
* Maximum Maximum linear independent rows linearly independent columns =
For example: A Bank of Mexico MXN
Ranker function: R ();
For A MXN , for A MXN X- nxl = 0, the least squares solution of A T AX = A T B, so that N NxN = A T A, N NxN X- nxl = W is nxl
To such that X has a unique solution, then the R (N) = n;
Because: If N columns linear correlation, it is possible to have many groups X, W can be a combination of a column vector;