I am running simulations to examine empirical size distortions of hypothesis tests. So I use a loop construct. My statistic comes from NLS or MLE estimation, so I cannot use the --progressive mode of the loop command. I sidestep this by using a count-loop and by storing the obtained statistics into a matrix. I typically repeat the loop 1000 times. But when I want to examine small sample sizes, say 100 observations, I end up with a matrix that has 1000 rows saved in a session that has sample size 100. In order to proceed with the work at hand, I need to transform the matrix into series. But I cannot do that since the row-length of the matrix is greater than the size of the sample in the session, and as far as I know, one cannot increase the sample size in a session. The only thing I know to do is to export the matrix into a spreadsheet, and re-load it as a series to a new gretl session that will then take as sample size the row-length of the former. I just wanted to ask, is there any other way? -- Alecos Papadopoulos PhD Candidate Athens University of Economics and Business, Greece School of Economic Sciences Department of Economics https://alecospapadopoulos.wordpress.com/