I have a huge time series datasets involving many loops. But, the model couldn't be converged. My model is given as follows..

```
Model <- nls(Y~b+m*X^D+Z, start = list(b=0.5,m=0.5, D=1),data=logar)

```

I just want a clear cut determination of starting value of nonlinear modelling!

```
Data(logar)

X         Y                  Z
135      -0.171292376      85  
91      0.273954718        54   
171     -0.288513438       107
88       -0.17363066       54
59     -1.770852012        50
1        0                 37
1       0                  32
1       0.301029996        36
2       -0.301029996       39
1       1.041392685        30
11      -0.087150176       42
9        0.577236408       20
34       -0.355387658      28
15        0.329058719      17
32        -0.182930683     24
21        0.196294645      21
33        0.114954516      91
43       -0.042403849      111
39       -0.290034611       88
20       -0.522878746       76
6        -0.301029995       108
3         0.477121254       78
9          0                63
9          0.492915522      51
28       -0.243038048       88
16        -0.028028724      17
15      -0.875061263        29
2       -0.301029996        44
1        0                  52
1        1.531478917        65

```