Added method for vector of dependent variable #453
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In this PR, inspired by [this discussion](https://discourse.julialang.org/t/the-simplest-linear-fit-with-glm/71316/3), I have added methods to make a linear fit with a vector of inputs and a vector of inputs.
Even though one can simply find the proportionallity coefficient between input X and output y from `X\y`, I think that adding the argument `through_origin` makes sense, in order to a) get an output with confidence-intervals etc, and b) to make GLM able to handle this case as well, making GLM capable of everything new users might expect. It also reduces the need for another package to implement the same thing, should they want this functionality.
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I am closing this, based on the continued discussion at https://discourse.julialang.org/t/the-simplest-linear-fit-with-glm/71316/11 |
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In this PR, inspired by this discussion, I have added methods to make a linear fit with a vector of inputs and a vector of inputs. Feedback is VERY welcome.