Hello,

I’m working on the PCA from the MultivariateStats package and get the following error message (I’m working with ATOM):

```
julia> PCA_Modell = fit(PCA, PCA_Daten)
ERROR: MethodError: no method matching fit(::Type{PCA}, ::Array{Union{Missing, Float64},2})
Closest candidates are:
fit(::Type{Histogram}, ::Any...; kwargs...) at C:\Users\guent\.juliapro\JuliaPro_v1.0.3.1\packages\StatsBase\yNoh6\src\hist.jl:319
fit(::StatisticalModel, ::Any...) at C:\Users\guent\.juliapro\JuliaPro_v1.0.3.1\packages\StatsBase\yNoh6\src\statmodels.jl:151
fit(::Type{D<:Distribution}, ::Any) where D<:Distribution at C:\Users\guent\.juliapro\JuliaPro_v1.0.3.1\packages\Distributions\WHjOk\src\genericfit.jl:33
...
Stacktrace:
[1] top-level scope at none:0
```

I’m trying to recreate an example that I did with R. In R I have to specify the expected number of components. If this is not the case here (I refer to the doc). The data I use comes from a DataFrame which I have converted into an array:

```
julia> PCA_Daten
1599×11 Array{Union{Missing, Float64},2}:
7.4 0.7 0.0 1.9 0.076 11.0 34.0 0.9978 3.51 0.56 9.4
7.8 0.88 0.0 2.6 0.098 25.0 67.0 0.9968 3.2 0.68 9.8
7.8 0.76
```

I hope it’s not too simple, but I’m grateful for any hint!

Thank’s

Günter