kernel density estimation with many variables (50 variables)

Hello, 

Does any one know an R-function that  performs kernel density estimation when there are many variables ? My data has up to 50 variables and  several thousand data points.  

Does any one know an alternative method to perform nonparametric density estimation on high dimensional data ?

Many thanks for the help

Serge Zaugg



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