Error in `if (sign(objective_fun(min_var)) == sign(objective_fun(max_var)))` A bool needed

[Alipha-Clisa]

I am trying to use proDA for a over-drop out dataset of mass-spectrometry analysis, and once i use the data for model fitting, it turns out a error

> fit = proDA(as.matrix(dfFilter), design = condiction)
Error in if (sign(objective_fun(min_var)) == sign(objective_fun(max_var))) { : 
  missing value where TRUE/FALSE needed

I have test that the data input, with treatments as columns and proteins as rows. In addition, I have filtered all the rows with no real observations (before replace zeros with NAs) :

> any(apply(dfFilter, 1, sum) <= 1e-8)
[1] FALSE

I wonder is there any step I did wrong? or just the data are too many zeors to regression?