assert (c != NULL);
rsq = c->ssm / c->sst;
adjrsq = 1.0 - (1.0 - rsq) * (c->n_obs - 1.0) / (c->n_obs - c->n_indeps);
- std_error = sqrt ((c->n_indeps - 1.0) / (c->n_obs - 1.0));
+ std_error = sqrt (pspp_linreg_mse (c));
t = tab_create (n_cols, n_rows, 0);
tab_dim (t, tab_natural_dimensions);
tab_box (t, TAL_2, TAL_2, -1, TAL_1, 0, 0, n_cols - 1, n_rows - 1);
int n_cols = 7;
int n_rows = 4;
const double msm = c->ssm / c->dfm;
- const double mse = c->sse / c->dfe;
+ const double mse = pspp_linreg_mse (c);
const double F = msm / mse;
const double pval = gsl_cdf_fdist_Q (F, c->dfm, c->dfe);
for (lc = models; lc < models + cmd.n_dependent; lc++)
{
- if (*lc != NULL)
+ assert (*lc != NULL);
+ assert ((*lc)->depvar != NULL);
+ if (cmd.a_save[REGRESSION_SV_RESID])
{
- if ((*lc)->depvar != NULL)
- {
- if (cmd.a_save[REGRESSION_SV_RESID])
- {
- reg_save_var (ds, "RES", regression_trns_resid_proc, *lc,
- &(*lc)->resid, n_trns);
- }
- if (cmd.a_save[REGRESSION_SV_PRED])
- {
- reg_save_var (ds, "PRED", regression_trns_pred_proc, *lc,
- &(*lc)->pred, n_trns);
- }
- }
+ reg_save_var (ds, "RES", regression_trns_resid_proc, *lc,
+ &(*lc)->resid, n_trns);
+ }
+ if (cmd.a_save[REGRESSION_SV_PRED])
+ {
+ reg_save_var (ds, "PRED", regression_trns_pred_proc, *lc,
+ &(*lc)->pred, n_trns);
}
}
}