What is the stochastic mechanism that generates the data? In other words, what 
distribution is Y, conditioned on X1 and X2, supposed to be?  

You can also get `a' if you do not wanrt to specify the probability mechanism 
by just doing a least squares fitting, but then making inferences can be a bit 
tricky.

Ravi.

____________________________________________________________________

Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University

Ph. (410) 502-2619
email: rvarad...@jhmi.edu


----- Original Message -----
From: Jim Silverton <jim.silver...@gmail.com>
Date: Sunday, October 31, 2010 2:45 am
Subject: Re: [R] Constrained Regression
To: r-help@r-project.org


> Hello everyone,
>  I have 3 variables Y, X1 and X2. Each variables lies between 0 and 1. 
> I want
>  to do a constrained regression such that a>0 and (1-a) >0
>  
>  for the model:
>  
>  Y = a*X1 + (1-a)*X2
>  
>  I tried the help on the constrained regression in R but I concede 
> that it
>  was not helpful.
>  
>  Any help is greatly appreciated
>  -- 
>  Thanks,
>  Jim.
>  
>       [[alternative HTML version deleted]]
>  
>  ______________________________________________
>  R-help@r-project.org mailing list
>  
>  PLEASE do read the posting guide 
>  and provide commented, minimal, self-contained, reproducible code.

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