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https://issues.apache.org/jira/browse/MATH-1423?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16068929#comment-16068929
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Cody Warren commented on MATH-1423:
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Hi Phil,
Sorry I actually meant 60 attributes and 2160 observations. Where is the user
group??? Some more documentation on some of that would be nice as well though.
> SingularMatrixException on Non-Square Matrix
> --------------------------------------------
>
> Key: MATH-1423
> URL: https://issues.apache.org/jira/browse/MATH-1423
> Project: Commons Math
> Issue Type: Bug
> Affects Versions: 3.5
> Environment: Oracle JDK 1.8.121
> Reporter: Cody Warren
> Priority: Minor
> Labels: OLSMutlipleRegression, SingularMatrixException
> Original Estimate: 1h
> Remaining Estimate: 1h
>
> I'm trying to implement an OLSMultipleLinearRegression class in the apache
> commons math java library and I keep getting a "SingularMatrixException".
> This is confusing to me because my data isn't even square (60 x 2160) which I
> thought was a requirement for a Singular Matrix.
> I've played with the data by pruning rows off and adding them back on, and
> found differing numbers of rows that will work/fail with this dataset.
> Also, I've checked my matrix for columns or rows that are full of zeros as
> suggested in this post:
> Using Apache Library for OLS Regression : Matrix is singular exception
> Is there something else with this library that I don't understand? Is there a
> way I can make this more robust or predict a singular array beforehand?
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