If the data used for the regression contains NA values, this will lead to errors downstream.  For example, if one row contains an NA value, it will be removed and create a size mismatch when a data.frame is later constructed using the residuals of all rows, or if a linear model is used, it will create a problem when the QR values are reused.

Warn on NA data being used for regression

…n of genes.tsv to use as gene names