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" <[EMAIL PROTECTED]>
To: <[email protected]>
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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