diff --git a/Project.toml b/Project.toml
index 013d4ad7..f668a1e0 100644
--- a/Project.toml
+++ b/Project.toml
@@ -3,7 +3,7 @@ uuid = "a1dec852-9fe5-11e9-361f-8d9fde67cfa2"
 keywords = ["lenearmodel", "mixedmodel"]
 desc = "Mixed-effects models with flexible covariance structure."
 authors = ["Vladimir Arnautov <mail@pharmcat.net>"]
-version = "0.14.6"
+version = "0.14.7"
 
 [deps]
 DiffResults = "163ba53b-c6d8-5494-b064-1a9d43ac40c5"
@@ -23,10 +23,10 @@ DiffResults = "1"
 Distributions = "0.20, 0.21, 0.22, 0.23, 0.24, 0.25"
 ForwardDiff = "0.10"
 LineSearches = "7"
-MetidaBase = "0.11"
+MetidaBase = "0.11, 0.12"
 Optim = "1"
 ProgressMeter = "1"
-StatsBase = "0.29, 0.30, 0.31, 0.32, 0.33"
+StatsBase = "0.29, 0.30, 0.31, 0.32, 0.33, 0.34"
 StatsModels = "0.7"
 julia = "1"
 
diff --git a/docs/src/examples.md b/docs/src/examples.md
index 21087aff..27a0fcd9 100644
--- a/docs/src/examples.md
+++ b/docs/src/examples.md
@@ -1,11 +1,11 @@
 ### Example 1 - Continuous and categorical predictors
 
 ```@example lmmexample
-using Metida, CSV, DataFrames, CategoricalArrays;
+using Metida, CSV, DataFrames, CategoricalArrays, Plots;
 
 import Pkg
 Pkg.activate("MixedModels")
-Pkg.add(name="Example", version="3.1.5")
+Pkg.add(name="MixedModels", version="3.1.5")
 using MixedModels
 
 
diff --git a/src/lmm.jl b/src/lmm.jl
index 94b16627..af444c3f 100644
--- a/src/lmm.jl
+++ b/src/lmm.jl
@@ -225,7 +225,7 @@ function Base.show(io::IO, lmm::LMM)
         println(io, "    Variance components:")
         println(io, "    θ vector: ", round.(lmm.result.theta, sigdigits = 6))
 
-        mx = hcat(Matrix{Any}(undef, lmm.covstr.tl, 1), lmm.covstr.rcnames, lmm.covstr.ct, round.(lmm.result.theta, sigdigits = 6))
+        mx = hcat(Matrix{Any}(missing, lmm.covstr.tl, 1), lmm.covstr.rcnames, lmm.covstr.ct, round.(lmm.result.theta, sigdigits = 6))
 
         for i = 1:length(lmm.covstr.random)
             if !isa(lmm.covstr.random[i].covtype.s, ZERO)