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Compute an array of regression parameters from an array of correlation parameters.
sR.sC(sC)
a p x p x nsamp array of, made up of nsamp correlation matrices.
a p x p x nsamp array of regression parameters.
For each of the nsamp correlation matrices C, a matrix of regression parameters is computed via R[j,-j]<- C[j,-j]%*%solve(C[-j,-j])
R[j,-j]<- C[j,-j]%*%solve(C[-j,-j])
# NOT RUN { fit<-sbgcop.mcmc(swiss) plotci.sA(sR.sC(fit$C.psamp)) # }
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