[R] "disregarded projections" warning when fitting lm model

[Dimitris Rizopoulos]

Hi Piet,

did you put an argument named `projections' in you lm call? If you 
look in lm.fit, then you'll see when this warning message appears. 
E.g.,:

x <- rnorm(100)
y <- rnorm(100)
lm(y~x, projections=5)

Call:
lm(formula = y ~ x, projections = 5)

Coefficients:
(Intercept)            x
   -0.09678      0.16589

Warning message:
Extra arguments projections are just disregarded. in: lm.fit(x, y, 
offset = offset, singular.ok = singular.ok, ...)

I hope it helps.

Best,
Dimitris

----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven

Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/16/336899
Fax: +32/16/337015
Web: http://www.med.kuleuven.ac.be/biostat
     http://www.student.kuleuven.ac.be/~m0390867/dimitris.htm


----- Original Message ----- 
From: "Piet van Remortel" <piet.vanremortel at gmail.com>
To: <r-help at stat.math.ethz.ch>
Sent: Tuesday, January 25, 2005 11:41 AM
Subject: [R] "disregarded projections" warning when fitting lm model


> Hi all,
>
> I'm fitting a linear model (using lm) to some 2500 data points.  The
> model consists of 4 single terms and two combined terms.  I get the
> following warning message:
>
> "Extra arguments projections are just disregarded. in: lm.fit(x, y,
> offset = offset, singular.ok = singular.ok, ...) "
>
> Can anybody clarify this ?  I don't seem to find any pointer to what
> this might mean.  Too many/little data points ?  too many terms in 
> the
> model ?
>
> thanks
>
> Piet
>
>
> --
> Piet van Remortel
> Intelligent Systems Lab
> University of Antwerp
> Belgium
> http://www.islab.ua.ac.be
>
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