Output model from GLM in R I had generate in Ra logistic model using glm using binomial as family, but each session that I started in R the variable that I used to store the glm output gives me another output. 
Why this happen? Why R didn’t save/store the output from glm in the variable that I created for.
I’ve been googling for an answer, but I didn’t find anything, so maybe you could help me to understand.
Thanks in advance!
Your question doesn't describe exactly what you did so it's impossible to tell you what happens, but anyway relying on R saving the workspace is not the best option to save your model. It would be much safer to actually save the model to a file, as described in this question for instance:


&gt; set.seed(345)
&gt; df &lt;- data.frame(x = rnorm(20))
&gt; df &lt;- transform(df, y = 5 + (2.3 * x) + rnorm(20))
&gt; ## model
&gt; m1 &lt;- lm(y ~ x, data = df)
&gt; ## save this model
&gt; save(m1, file = "my_model1.rda")
&gt; 
&gt; ## a month later, new observations are available: 
&gt; newdf &lt;- data.frame(x = rnorm(20))
&gt; ## load the model
&gt; load("my_model1.rda")
&gt; ## predict for the new `x`s in `newdf`
&gt; predict(m1, newdata = newdf)
        1         2         3         4         5         6 
6.1370366 6.5631503 2.9808845 5.2464261 4.6651015 3.4475255 
        7         8         9        10        11        12 
6.7961764 5.3592901 3.3691800 9.2506653 4.7562096 3.9067537 
       13        14        15        16        17        18 
2.0423691 2.4764664 3.7308918 6.9999064 2.0081902 0.3256407 
       19        20 
5.4247548 2.6906722