Hello,

It seems that in rcc method, `cim`

function computes a correlation between each variate and each original feature and multiplies the resulting matrices:

`bisect = mat$variates$X[, comp] + mat$variates$Y[, comp]`

`cord.X = cor(mat$X, bisect, use = "pairwise")`

`cord.Y = cor(mat$Y, bisect, use = "pairwise")`

`XY.mat = as.matrix(cord.X %*% t(cord.Y))`

Multiplying correlation coefficients by each other isn’t a very common operation in statistics, so I wonder if the resulting matrix has any straightforward interpretation?

Thank you.