search for: statsmodel

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2012 Oct 12
2
party for prediction [REPOST]
...correlated or effectively constant (that is x are not independent for all choices of components of z). When the resulting fit is fed into predict() the result is NA - this is not the same behaviour as models returned by say lm which ignore missing coefficients. I have fixed this by defining my own statsModel (myLinearModel - imaginative) which also ignores such coefficients when predicting. The second problem I have is that I get "Cholesky not positive definite" errors at some nodes. I guess this is because of numerical error and degeneracy in the covariance matrix? Any thoughts on how to av...
2012 Oct 11
0
party for prediction
...correlated or effectively constant (that is x are not independent for all choices of components of z). When the resulting fit is fed into predict() the result is NA - this is not the same behaviour as models returned by say lm which ignore missing coefficients. I have fixed this by defining my own statsModel (myLinearModel - imaginative) which also ignores such coefficients when predicting. The second problem I have is that I get "Cholesky not positive definite" errors at some nodes. I guess this is because of numerical error and degeneracy in the covariance matrix? Any thoughts on how to av...