tomtom

I'm trying to solve a system of eight equations involving 8 unknowns. I don't think it's too complicated but I got the following "too many right parenthese" error: ``` julia>...

Update lazymacro.jl

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typo

wrong type inference for square terms

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[please read this](https://discourse.julialang.org/t/bug-in-statsmodels-modelmatrix/69428/2). Currently, formulas like `@formula(y ~ 1 + a * (a + b) + b * b)` would fail. We **need to explicitly state the square terms** like...

modelcols() "world age problem" with "deserialized types"

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I tried to save a fitted model of type: ``` julia> typeof(mod) StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}} ``` which has a modelframe as: ``` julia> mod.mf.f FormulaTerm Response: v0(continuous) Predictors: 1 x1(continuous) x2(continuous) (x1)->x1...

now `div()` and `rem()` are not supported: ``` julia> x = Dual(1.1, 2.2); julia> y = Dual(3.3, 4.4); julia> div(y, x) ERROR: MethodError: no method matching div(::Dual128, ::Dual128, ::RoundingMode{:ToZero}) julia>...

negate!() is not defined (but README.md said it's defined)