Thank you Dimitris Reid, you were very helpful.
Best wishes,
Arie.
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Hi, after reading some R docs, I couldnt figure out how can I find the
solution for the following
problem, therefore I would ask this friendly list for an advice.
Were making a least square approximation for an experiment described by the
following model:
T is the time,
Y is some measured
/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
- Original Message -
From: Arie [EMAIL PROTECTED]
To: r-help@stat.math.ethz.ch
Sent: Monday, August 01, 2005 10:17 AM
Subject: [R] Conditional piece-wise dependent regression
Hi, after reading some R docs, I couldn't figure out how
, 2005 4:40 AM
To: Arie
Cc: r-help@stat.math.ethz.ch
Subject: Re: [R] Conditional piece-wise dependent regression
Since you want least squares, I think you could use lm() here, i.e.,
U - 50
V - 100
Time - 1:150
dat - data.frame(y = rnorm(150), Time, f1 = as.numeric(Time U), f2
= as.numeric(Time V
