A small example dataset with three components, stored as a list
with a vector containing the classes (`response`

), a matrix
containing the predictor variables (`predictors`

), and a tree
describing the relationships between the predictor variables
(`tree`

). The dataset consists of 50 samples divided into two
classes and 100 taxa/predictor variables, related to each other by
a random tree (generated with `ape::rtree`

). A set of 42 taxa
descending from one internal node are all over-represented in one
class and under-represented in the other. The `predictors`

element in the list contains real numbers, not counts, and is
supposed to reflect normalized taxon abundances (e.g.,
normalization using the variance-stabilizing transformation in
DESeq2).

A list containing response variables, predictor variables, and a tree describing the relationship between the predictor variables.

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