dendrometric-averages

Project.toml

@@ -5,12 +5,12 @@ version = "1.0.0-DEV"
 
 [deps]
 CategoricalArrays = "324d7699-5711-5eae-9e2f-1d82baa6b597"
-Chain = "8be319e6-bccf-4806-a6f7-6fae938471bc"
 ColorTypes = "3da002f7-5984-5a60-b8a6-cbb66c0b333f"
 DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Distributions = "31c24e10-a181-5473-b8eb-7969acd0382f"
 GLM = "38e38edf-8417-5370-95a0-9cbb8c7f171a"
 HypothesisTests = "09f84164-cd44-5f33-b23f-e6b0d136a0d5"
+Kaleido_jll = "f7e6163d-2fa5-5f23-b69c-1db539e41963"
 LinearAlgebra = "37e2e46d-f89d-539d-b4ee-838fcccc9c8e"
 PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
 Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
@@ -20,7 +20,6 @@ Reexport = "189a3867-3050-52da-a836-e630ba90ab69"
 Revise = "295af30f-e4ad-537b-8983-00126c2a3abe"
 StatsBase = "2913bbd2-ae8a-5f71-8c99-4fb6c76f3a91"
 StatsModels = "3eaba693-59b7-5ba5-a881-562e759f1c8d"
-StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
 Tables = "bd369af6-aec1-5ad0-b16a-f7cc5008161c"
 
 [compat]

src/ForestMensuration.jl

@@ -40,11 +40,13 @@ module ForestMensuration
 
   include("structs-consts.jl")
   include("linear-regression.jl")
+  include("multiple-linear-regression.jl")
   include("prediction.jl")
   include("regression-parameters.jl")
   include("criteria-functions.jl")
   include("plot_regression.jl")
   include("frequency-tables.jl")
+  include("dendrometric-averages.jl")
   include("cubage.jl")
   include("inventory-report.jl")
   include("simple-casual-sampling.jl")
@@ -54,13 +56,13 @@ module ForestMensuration
 
   export
     # Regression
-    GroupedLinearModel,
     TableRegressionModel,
     regression,
     prediction,
     prediction!,
     criteria_table,
     criteria_selection,
+    dendrometric_averages,
     plot_regression,
     #Cubage
     cubage,