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...ata.txt", header=T); df1 = na.omit(df[, 1:2]) library(nls); fm = nls(y ~ (x+d)^(-exp(lb)), data = df1, start=c(lb = 0, d = 0),alg = 'plinear', trace = TRUE); I would be glad if someone can help me. Thanks & Regards, Sai Charan Komanduru >To: Komanduru Sai C <sck2348 at cacs.louisiana.edu> >Cc: r-help at stat.math.ethz.ch >Subject: Re: [R] nls >From: Douglas Bates <bates at stat.wisc.edu> >Date: 19 Feb 2003 08:33:52 -0600 >User-Agent: Gnus/5.0808 (Gnus v5.8.8) XEmacs/21.4 (Common Lisp) >MIME-Version: 1.0 >X-Keywords: > >Koma...

Hi, I am a grad student at the university of Louisiana at Lafayette. I have a question. I have an equation with 3 unknowns. f= P/ (r+p) pow(B). I have values of f for different r's. Can i use R to find the P,p,B values which are constants. The equation is Manderbolts equation. Thanks and regards, Sai Charan Komanduru Research Assistant, CACS ULL

Hi, I am using nls library df <- read.table("data.txt", header=T); library(nls); fm <- nls(y ~ a*(x+d)^(-b), df, start=list(a=max(df->y,na.rm=T)/2,b=1,d=0)); coef(fm); q(); When i am using the above routine i am getting the following error Error in nlsModel(formula, mf, start) : singular gradient matrix at initial parameter estimates Can some one help me in this.