Eigendecomposition for square matrix
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Description
Hello,
I have a non-symmetric square metric and would like to get an [eigendecomposition](https://en.wikipedia.org/wiki/Eigendecomposition_of_a_matrix). As far as I see, only symmetric matrices are supported (with [`symmetric_eigen`](https://docs.rs/nalgebra/latest/nalgebra/base/struct.Matrix.html#method.symmetric_eigen)).
Is eigendecomposition for regular square matrices supported? Am I missing something?
If you need an example, I'm trying to get a decomposition for the following stochastic matrix:
```
[0.47 0.53 0 ]
[0.52 0 0.48]
[0 0 1 ]
```
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