##for a 100x10 data matrix X,
## lying (mostly) in the subspace defined by the first 2 unit vectors,
## projects data into 1 dimension.
X <- matrix(c(runif(100*2, -10, 10), rep(0,100*8)),nrow=100)
+ matrix(c(rep(0,100*2),rnorm(100*8,0,0.1)),ncol=10)
myl1pcastar <- l1pcastar(X)
##projects data into 2 dimensions.
myl1pcastar <- l1pcastar(X, projDim=2, center=FALSE, projections="l1")
## plot first two scores
plot(myl1pcastar$scores)
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