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 to one where all the column vectors are minimized?(adsbygoogle = window.adsbygoogle || []).push({});

As an example, all the column vectors in Matrix A are 1. In Matrix B, the 2nd column vector is 2 and I think I require it to be 1. Is this change possible? TIA

Vectors | Matrix - A

---------|-----------------

0.0365 | 0.27217 0.22176

0.0001 | -0.96225 0.97510

Vectors | Matrix - B

---------|-----------------

0.0365 | 0.2715 0.5026

0.0001 | -0.9624 1.9018

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# Minimum column vector

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