The LOGISTIC REGRESSION command has been recently added to PSPP. Logistic regression enables one to find the coefficients of one or more predictor variables explaining a dichotomous dependent variable, and to investigate the significance of such explanatory relationships. Both continuous and categorical predictor variables are supported as well as interactions between variables.
This complements the existing linear regression and anova routines. Like most procedures in PSPP it may be scripted, or run interactively either at the terminal, or using the graphical user interface. To use this feature, you will need to checkout and build a version from the Git repository. Should you discover any bugs in it, please report them as you would any other. J' -- PGP Public key ID: 1024D/2DE827B3 fingerprint = 8797 A26D 0854 2EAB 0285 A290 8A67 719C 2DE8 27B3 See http://keys.gnupg.net or any PGP keyserver for public key.
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