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Gender | Height | Weight | |
---|---|---|---|
Male | 73.847017017515 | 241.893563180437 | |
Male | 68.7819040458903 | 162.310472521300 | |
Male | 74.1101053917849 | 212.7408555565 | |
Male | 71.7309784033377 | 220.042470303077 | |
Male | 69.8817958611153 | 206.349800623871 | |
Male | 67.2530156878065 | 152.212155757083 | |
Male | 68.7850812516616 | 183.927888604031 | |
Male | 68.3485155115879 | 167.971110489509 | |
Male | 67.018949662883 | 175.92944039571 |
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### Library | |
library(limSolve) | |
### Functions | |
# Make the matrix A from the puzzle data table | |
training.to.matrix.A <- function(train) | |
{ | |
output<-matrix(nrow=nrow(train),ncol=10) | |
for (i in 1:nrow(train)) |
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