I have a data. The LinearModelFit works well with it. But I really interested to fit it to y == a 34^b x^d + e 34^f x So, my code:

fit2 = NonlinearModelFit[data, {a 34^b x^d + e 34^f x}, {a, b, d, e, f}, {x}] 

But it gives me an error:

NonlinearModelFit::nrjnum: The Jacobian is not a matrix of real numbers at {a,b,d,e,f} = {1.,1.,1.,1.,1.}.

Now i’m a bit stucked…

UPD. data

data = {{0, 0}, {0.5`, 0.005899`}, {2.`, 0.011938`}, {5.`,  0.016026`}, {8.`, 0.019241`}, {11.`, 0.021775`}, {14.`,  0.023975`}, {17.`, 0.025926`}, {20.`, 0.027588`}, {23.`,  0.029033`}, {26.`, 0.030481`}, {29.`, 0.03175`}, {32.`,  0.032963`}, {35.`, 0.034043`}, {38.`, 0.035107`}, {44.`,  0.036933`}, {50.`, 0.038732`}, {56.`, 0.040337`}, {62.`,  0.041727`}, {68.`, 0.043243`}, {74.`, 0.044595`}, {80.`,  0.045782`}, {86.`, 0.046893`}, {92.`, 0.048013`}, {98.`,  0.04901`}, {104.`, 0.049906`}, {110.`, 0.050887`}, {116.`,  0.051737`}, {122.`, 0.052511`}, {130.`, 0.053636`}, {142.`,  0.056062`}, {154.`, 0.057802`}, {166.`, 0.059426`}, {178.`,  0.060762`}, {190.`, 0.062086`}, {202.`, 0.063304`}, {214.`,  0.064401`}, {226.`, 0.065449`}, {238.`, 0.066462`}, {250.`,  0.067398`}, {262.`, 0.068241`}, {274.`, 0.069049`}, {286.`,  0.069826`}, {298.`, 0.070638`}, {310.`, 0.071341`}, {322.`,  0.071984`}, {334.`, 0.07258`}, {346.`, 0.073202`}, {358.`,  0.073809`}, {370.`, 0.074263`}, {382.`, 0.074954`}, {394.`,  0.075353`}, {406.`, 0.075835`}, {418.`, 0.076402`}, {430.`,  0.076759`}, {442.`, 0.077285`}, {454.`, 0.077618`}, {466.`,  0.077963`}, {478.`, 0.078492`}, {490.`, 0.07869`}, {502.`,  0.079317`}, {514.`, 0.0795`}, {526.`, 0.079799`}, {538.`,  0.080266`}, {550.`, 0.080393`}, {562.`, 0.080893`}, {574.`,  0.081167`}, {586.`, 0.081271`}, {598.`, 0.081768`}, {610.`,  0.082036`}, {622.`, 0.082127`}, {634.`, 0.0824`}, {646.`,  0.082904`}, {658.`, 0.082974`}, {670.`, 0.083041`}, {682.`,  0.083286`}, {694.`, 0.083747`}, {706.`, 0.083797`}};