# Correct properties for LinearModelFit to produce an ARprocess

I have AR model where the dependent variable has been lagged from one to six and added on the right hand side as independent/explanatory variables. From this explanation /AR and OLS, you can see that its the same method used for bot processes but they have different properties.

Would it be possible to correct for these differences in properties so that they would produce similar output?

In[367]:=
LinearModelFit[
oneModel6, {Lag6, Lag5, Lag4, Lag3, Lag2, Lag1}, {Lag6, Lag5, Lag4,
Lag3, Lag2, Lag1}] // Normal

Out[367]= 0.0731966 + 0.94007 Lag1 + 0.065967 Lag2 + 0.0138268 Lag3 -
0.00506139 Lag4 - 0.0396571 Lag5 + 0.0246181 Lag6

In[371]:= EstimatedProcess[datafile[[2 ;;, 1]], ARProcess[6]]

Out[371]= ARProcess[{0.969106, 0.031289,
0.0108835, -0.00257615, -0.0160354, 0.006491}, 18.3826]

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