Compute the sum-of-squares-deviations (from the mean) matrix using two MatH objects having the same number of rows,
It returns a rectangular a matrix of numbers, consistent with
a set of distributions equipped with a L2 wasserstein metric.
WH.SSQ2(object1, object2, ...)# S4 method for MatH,MatH
WH.SSQ2(object1, object2, w = numeric(0))
a MatH object
a MatH object
some optional parameters
it is possible to add a vector of weights (positive numbers)
having the same size of the rows of the MatH object,
default = equal weight for each row
a rectangular matrix with the weighted sum of squares
# NOT RUN {
M1<-BLOOD[,1]
M2<-BLOOD[,2:3]
WH.SSQ2(M1,M2)
# generate a set of random weights
RN<-runif(get.MatH.nrows(BLOOD))
WH.SSQ2(M1,M2,w=RN)
# }
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