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p2_a
2008 Mar 06
0
Help with colinearity problem in multiple linear regression
...f data.
P1 = P[1:25,]
P2 = P[26:50]
# Partition 1 - calculated on host 1
P1_X = as.matrix(cbind(1, P1[,c("UrbanPop", "Assault", "Rape",
"Introduced")]))
P1_A = t(P1_X) %*% P1_X
P1_b = t(P1_X) %*% P1[,"Murder"]
# Partition 2 - calculated on host 2
P2_X = as.matrix(cbind(1, P2[,c("UrbanPop", "Assault", "Rape",
"Introduced")]))
P2_A = t(P2_X) %*% P2_X
P2_b = t(P2_X) %*% P2[,"Murder"]
# repeat for partitions 3:N
# ...
# collect data from the all the partitions, this is the key for
# the parallelis...