n_indep = identify_indep_vars (indep_vars, dep_var);
reader = casereader_clone (input);
reader = casereader_create_filter_missing (reader, indep_vars, n_indep,
- MV_ANY, NULL);
+ MV_ANY, NULL, NULL);
reader = casereader_create_filter_missing (reader, &dep_var, 1,
- MV_ANY, NULL);
+ MV_ANY, NULL, NULL);
n_data = prepare_categories (casereader_clone (reader),
indep_vars, n_indep, mom);
{
lopts.get_indep_mean_std[i] = 1;
}
- models[k] = pspp_linreg_cache_alloc (X->m->size1, X->m->size2);
+ models[k] = pspp_linreg_cache_alloc (dep_var, (const struct variable **) indep_vars,
+ X->m->size1, X->m->size2);
models[k]->depvar = dep_var;
/*
For large data sets, use QR decomposition.