Hello All, I am having issues with singular matrices because the number of variables (linear morphometric measures) I have far exceeds the number of samples. I don't wish to introduce a bias into my analyses by selecting variables to include/exclude from my data matrix, hence I am wondering about the validity of using generalised inverse matrices.
Is the use of generalised inverse matrices a valid/ accepted one? Are generalised inverse matrices statistically robust and will people believe my results? Has anyone published using generalised inverse matrices? How would I defend the use of generalised inverse matrices? Thanks in advance, Brett Human ************************ Brett Human, PhD Shark Researcher 27 Southern Ave West Beach SA 5024 Australia Ph: +61 8 8356 6891 email: [EMAIL PROTECTED] ************************ -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
