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Here, since the model is not Gaussian, nor based on Euclidean distance ($\ell_2$ norm) minimization, computing the explained variance is not suitable in this context.
Instead, we can compute a percentage of cumulative explained deviance, as introduced in section 2.1 of the related publication (link to access the preprint).
I think that this information is given in the output of the main function.
Thank you for very nice package
I want to calculate variance for each component
How can i calculate it?
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