Displaying 3 results from an estimated 3 matches for "regrssions".
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regressions
2002 Dec 18
6
Can I build an array of regrssion model?
Hi,
I am trying to use piecewise linear regression to approximate a
nonlinear function. Actually, I don't know how many linear functions I
need, therefore, I want build an array of regression models to automate
the approximation job. Could you please give me any clue?
Attached is ongoing code:
rawData = scan("c:/zyang/mass/data/A01/1.PRN",
what=list(numeric(),numeric()));
len =
2005 Apr 06
2
two methods for regression, two different results
Please forgive a straight stats question, and the informal notation.
let us say we wish to perform a liner regression:
y=b0 + b1*x + b2*z
There are two ways this can be done, the usual way, as a single
regression,
fit1<-lm(y~x+z)
or by doing two regressions. In the first regression we could have y as
the dependent variable and x as the independent variable
fit2<-lm(y~x).
The second
2007 Apr 13
0
Problem with predict in systemfit
...To: Leeds, Mark (IED)
Subject: R question
I am using the "predict" function after I have done a simultaneous
estimation of a system using "systemfit". fitsur is the output of
systemfit and "system" is my system of equations, "SUR" is the Seemingly
Unrelated Regrssions method of estimation.
fitsur<-systemfit("SUR",system)
I am supposed to be able to use the estimated coefficients for
out-of-sample prediction using a different data set than the one
originally used for estimation. That is my XSf data frame. Unfortunately
whether I include that option...