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QR factorization decomposes a matrix A into a product Q * R, where Q is an orthogonal matrix and R is an upper triangular matrix.
| 1 | 2 | 3 |
| 4 | 5 | 6 |
| 7 | 8 | 9 |
| -0,1231 | 0,9045 | -0,4082 |
| -0,4924 | 0,3015 | 0,8165 |
| -0,8616 | -0,3015 | -0,4082 |
| -8,124 | -9,6011 | -11,0782 |
| 0 | 0,9045 | 1,8091 |
| 0 | 0 | 0 |
