Dear Gretl Team, I'm not sure if all the following strings has to be marked for translation, but please take a look at them: "variable 8 (explicativas): non-numeric values = 200 (100,00 percent)" "allocating string table" "LHS vector should be of length 146, is 145" (it appears when use gretlcli) "nls_genr_setup failed" (it appears when use gretlcli) "array of strings, length 384" (it appears inside a created bundle - I'm not sure if we should mark this for translation) "matrix: 384 x 4" (it appears inside a created bundle - I'm not sure if we should mark this for translation) "kalman: obsymat is 6 x 6, should be 1 x 6" (it appears on a Kalman filter context) "Kalman input matrices" (it appears inside a Kalman bundle) "Kalman output matrices" (it appears inside a Kalman bundle) "Kalman scalars" (it appears inside a Kalman bundle) To get a better understanding about the real impact of some of that untranslated strings, take a look at the output of that "open" command using Gretl on a pt_BR environment: open http://samplecsvs.s3.amazonaws.com/Sacramentorealestatetransactions.csv We get some more untranslated strings: interpretando C:\Users\Henrique\AppData\Roaming\gretl\Sacramentorealestatetransactions.csv... usando o delimitador ',' maior linha: 127 caracteres primeiro campo: 'street' número de colunas = 12 número de variáveis: 12 número de linhas não-vazias: 986 procurando nomes de variáveis... linha: street,city,zip,state,beds,baths,sq__ft,type,sale_date,price,latitude,longitude procurando rótulos de linhas e dados… variable 1 (street): non-numeric values = 985 (100.00 percent) variable 2 (city): non-numeric values = 985 (100.00 percent) variable 4 (state): non-numeric values = 985 (100.00 percent) variable 8 (type): non-numeric values = 985 (100.00 percent) variable 9 (sale_date): non-numeric values = 985 (100.00 percent) allocating string table tratando estes como sendo dados sem data Best regards, Henrique Andrade