I am getting error (julia 1.5)

plot!(model)

ERROR: Cannot convert StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}} to series data for plotting

Stacktrace:

[1] error(::String) at .\error.jl:33

[2] _prepare_series_data(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}) at C:\Users\hafez.julia\packages\RecipesPipeline\5RD7m\src\series.jl:8

[3] _series_data_vector(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}, ::Dict{Symbol,Any}) at C:\Users\hafez.julia\packages\RecipesPipeline\5RD7m\src\series.jl:27

[4] macro expansion at C:\Users\hafez.julia\packages\RecipesPipeline\5RD7m\src\series.jl:139 [inlined]

[5] apply_recipe(::Dict{Symbol,Any}, ::Type{RecipesPipeline.SliceIt}, ::Nothing, ::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}, ::Nothing) at C:\Users\hafez.julia\packages\RecipesBase\AN696\src\RecipesBase.jl:282

[6] _process_userrecipes!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}}) at C:\Users\hafez.julia\packages\RecipesPipeline\5RD7m\src\user_recipe.jl:35

[7] recipe_pipeline!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}}) at C:\Users\hafez.julia\packages\RecipesPipeline\5RD7m\src\RecipesPipeline.jl:68

[8] _plot!(::Plots.Plot{Plots.GRBackend}, ::Dict{Symbol,Any}, ::Tuple{StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}}) at C:\Users\hafez.julia\packages\Plots\ViMfq\src\plot.jl:167

[9] #plot!#127 at C:\Users\hafez.julia\packages\Plots\ViMfq\src\plot.jl:158 [inlined]

[10] plot!(::Plots.Plot{Plots.GRBackend}, ::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}) at C:\Users\hafez.julia\packages\Plots\ViMfq\src\plot.jl:155

[11] plot!(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}; kw::Base.Iterators.Pairs{Union{},Union{},Tuple{},NamedTuple{,Tuple{}}}) at C:\Users\hafez.julia\packages\Plots\ViMfq\src\plot.jl:150

[12] plot!(::StatsModels.TableRegressionModel{LinearModel{GLM.LmResp{Array{Float64,1}},GLM.DensePredChol{Float64,LinearAlgebra.Cholesky{Float64,Array{Float64,2}}}},Array{Float64,2}}) at C:\Users\hafez.julia\packages\Plots\ViMfq\src\plot.jl:144

[13] top-level scope at REPL[12]:1

[14] include_string(::Function, ::Module, ::String, ::String) at .\loading.jl:1088