[R] weighted x variables with glm
michael.bedward at gmail.com
Mon Nov 29 03:55:08 CET 2010
>> In case you haven't see it, the glm function accepts an optional
>> weights argument.
> Thanks for the reply. But the philosopy behind weighting is the assumption
> of unequal variance in the y values. In normal regression one assumes that
> the x values are known without error
Sorry Wendy - I posted my reply prior to engaging my brain (ie. didn't
read your question properly).
You're talking about Model II / major axis type methods. The smatr
package might cater for what you're trying to do.
Hope this helps (more).
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