[R] Package survey: singularities in linear regression models

[Sebastian Weirich]

Hello,

I want to specify a linear regression model in which the metric outcome 
is predicted by two factors and their interaction. glm() computes 
effects for each factor level and the levels of the interaction. In the 
case of singularities glm() displays "NA" for the corresponding 
coefficients. However, svyglm() aborts with an error message. Is there a 
possibility that svyglm() provides output for coefficients without 
singularities like glm()?

Thank you very much,
Sebastian Weirich

-- 
Sebastian Weirich, Dipl.-Psych.

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