# fit a non-linear equation with several dependent variables

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## fit a non-linear equation with several dependent variables

 Hi I have a very big data.frame : str(fslu12) 'data.frame': 277200 obs. of  11 variables:  \$ V1 : num  304 304 304 304 304 ...  \$ V2 : num  300 300 300 300 300 300 300 300 300 300 ...  \$ V3 : num  10 10 10 10 10 10 10 10 10 10 ...  \$ V4 : num  79.1 52 30.6 37.3 63 79.1 52 30.6 37.3 63 ...  \$ V5 : num  0.005 0.00498 0.00496 0.00491 0.00484 ...  \$ V6 : num  0.01 0.00997 0.00988 0.00969 0.00954 ...  \$ V7 : num  0.000618 0.001457 0.002777 0.004696 0.005373 ...  \$ V8 : num  0.1295 0.0309 0.0407 0.0211 -0.0095 ...  \$ V9 : num  0 -0.000301 -0.000911 -0.001238 -0.000419 ...  \$ V10: num  -0.0002 -0.000201 -0.000202 -0.000814 -0.000619 -0.0002 -0.000402 -0.000404 -0.000611 -0.000205 ...  \$ V11: Factor w/ 6 levels "n1","n2","n3",..: 2 2 2 2 2 2 2 2 2 2 ... And I would like to fit an equation of the form "y = a + bx^(1/2)  * (1-exp(-c*z^d))" , where a , b , c and d are constant and x and z are dependent variables . applied to my data.frame the equation would be: V8 = a + b*V5^(1/2)  * (1-exp(-c*V6^d)) , data=fslu12 Does anyone knows about a package/function that could do this? thanks