This function conducting a multiple matrix regression and uses Mantel (1967) permutations to test the significance of the model and individual coefficients. It also returns the residual and predicted matrices.
Usage
multi.mantel(Y, X, nperm=1000)
Arguments
Y
single "dependent" square matrix. Can be either a symmetric matrix of class "matrix" or a distance matrix of class "dist".
X
a single independent matrix or multiple independent matrices in a list. As with Y can be a object of class "matrix" or class "dist".
nperm
number of Mantel permutations.
Value
a list with the following components:
r.squaredmultiple R-squared.
coefficientsmodel coefficients, including intercept.
tstatistict-statistics for model coefficients.
fstatisticF-statistic for the overall model.
probtvector of probabilities, based on permutations, for tstatistic.
probFprobability of F, based on Mantel permutations.