Nothing

```
comp11 <-
function(y){
# Function that computes the distinct observations in a numeric vector.
# It is based entirely on the "comp1" function from the BNPdensidty
# package with the exception that it returns the variable that
# rearranges the numeric vector into one with its unique values only.
#
# IN:
#
# y <- numeric vector.
#
# OUT:
#
# jstar <- variable that rearranges "y" into a vector with its unique
# values.
# nstar <- frequency of each distinct observation in "y".
# rstar <- number of distinct observations in "y".
# gn <- variable that indicates the group number to which every
# entry in "y" belongs.
n <- length(y)
mat <- outer(y, y, "==")
jstar <- led <- rep(FALSE, n)
for (j in seq(n)) {
if (!led[j]) {
jstar[j] <- TRUE
if (j == n)
break
ji <- seq(j + 1, n)
tt <- mat[ji, j] %in% TRUE
led[ji] <- led[ji] | tt
}
if (all(led[-seq(j)]))
break
}
ystar <- y[jstar]
nstar <- apply(as.matrix(mat[, jstar]), 2, sum)
rstar <- length(nstar)
gn <- match(y, ystar)
return(list(jstar = jstar, nstar = nstar, rstar = rstar, gn = gn))
}
```

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