ss 'speedglm':
#&gt; 
#&gt; Call:  speedglm::speedglm(formula = labels ~ ., data = df_parceling[,      -which(names(df_parceling) %in% c("poids_final", "classe_SCORE",          "acc"))], family = stats::binomial(link = "logit")) 
#&gt; 
#&gt; Coefficients:
#&gt; (Intercept)        x.x.1        x.x.2  
#&gt;      -0.142       -1.398        1.915  
#&gt; </div></pre>
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