Is normalizing vectors the answer to my question? Do I simply divide each vector by it's normal? So in my case with Matrix B
Vectors | Matrix - B
---------|-----------------
0.0365 | 0.2715 0.5026
0.0001 | -0.9624 1.9018
The normal for the first column vector is..
sqrt(0.2715^2 +...
I'm doing a particular form of regression that gives a eigenvector and matrix for the solution. I'm using two matrix libraries to code the solution. One library yields the minimum column vector in each column. The other does not, is there a method in linear algebra to convert the eigenmatrix...