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...lp me, it is very important for my phd thesis. Thanks in advance. Hammadi. -------------- next part -------------- mat<- read.csv(file="mat.csv",head=FALSE,sep=";") y<-read.csv(file="y.csv",head=FALSE,sep=";") Y=y[,1] D_1=mat[,1] D_2=mat[,2] D_3=mat[,3] D_4=mat[,4] Y_1=mat[,5] Y_2=mat[,6] Y_3=mat[,7] Y_4=mat[,8] s_F=mat[,9] s_G=mat[,10] L.minor=data.frame(Y=Y,D_1=D_1,D_2=D_2,D_3=D_3,D_4=D_4,Y_1=Y_1,Y_2=Y_2,Y_3=Y_3,Y_4=Y_4,s_F=s_F,s_G=s_G) stdS=1/(sd(s_F)) stdG=1/(sd(s_G)) L.minor.m1<-nls(Y~a_1_1*D_1+a_2_1*D_2+a_3_1*D_3+a_4_1*D_4+a_1_2*(exp(-gamma_1...

Dear R-list members, I've had a hard time trying to solve a non-linear system (nls) of equations which structure for the equation i, i=1,...,4, is as follows: f_i(d_1,d_2,d_3,d_4)-k_i(l,m,s) = 0 (1) In the expression above, both f_i and k_i are known functions and l, m and s are known constants. I would like to estimate the vector d=(d_1,d_2,d_3,d_4) which is solution of (1). Functions in R to estimate f_i-k_i are at the end of this message. Any help/suggestions/comme...