Dear all
I try to run the code as follows,
test.model<-nls(y~exp(A)*(x-PMA)^4+exp(B)*(x-PMA)^2+Const,
data=test,
start=list(A=8,B=5,Const=10,PMA=0),
control=nls.control(maxiter = 50,minFactor=1/1048),
trace=TRUE)
But how can i build a selfSart, since i have much data ?
Thanks for your help first!
Vina
From: [EMAIL PROTECTED]: [EMAIL PROTECTED]: Help: how can i build a constrained
non-linear model?Date: Tue, 4 Sep 2007 07:53:41 +
DearI have a data.frame, and want to fit a constrained non-linear model:data:
x
y
-0.08
20.815
-0.065
19.8128
-0.05
19.1824
-0.03
18.7346
-0.015
18.3129
0.015
18.0269
0.03
18.4715
0.05
18.9517
0.065
19.4184
0.08
20.146
0
18.2947model:y~exp(a)*(x-m)^4+exp(b)*(x-m)^2+const I try to use nls() and set
start=list(a=1,b=1,c=1,m=1), but which always give me a error message that "
Error in qr.solv(QR.B,cc): singular matrix 'a' in solve". How can i build a
selfStart? or any suggestion! Thanks&Regards,Vina
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