Hey guys, I'm trying to run a Canonical Correlation Analysis (CCA) between two data sets. But for my case I am dealing with data sets(which are stored as two matrices X and Y) in which the number of experimental units is greater than the number of variables, so I want to use a sample from my "mothdata" data set which I store in a matrix called "Yr". I am using the cc() function. Here is my R code:
> Yr <- as.matrix(mothdata[, sample(1:422, size = 10)]) > res.cc <- cc(Yr, X) But I am getting this error: Error in chol.default(Cmat) : the leading minor of order 6 is not positive definite I'm not sure what exactly this error means. Can someone help me understand the error or give me advice on how to correct it. Thanks -- View this message in context: http://r.789695.n4.nabble.com/Error-the-leading-minor-of-order-6-is-not-positive-definite-tp2320449p2320449.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
