| To: | s-news@lists.biostat.wustl.edu |
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| Subject: | fitting a linear model |
| From: | Martyn Colins <martyncollins10@yahoo.com> |
| Date: | Fri, 12 Jan 2007 07:43:48 -0800 (PST) |
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Dear members, I would like to fit a linear model using the lm function in the usual way, i.e. y= X*beta + error. However, I have two restrictions on my model. The first is the the sum of the y(i)'s is equal to 1 and the second is the sum of each row in the X matrix is also equal to 1. In the light of these restrictions, is it appropriate to fit a linear model? If not, what type of model should I be fitting? Many thanks in advance for your help. Regards, Martyn
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