Predict binary outcome with R I posted my original question here, but was told that I should have posted at Cross Validated, below is the link to the original question:
https://stackoverflow.com/questions/20943584/predict-binary-outcome-with-r?noredirect=1#comment31453858_20943584
thanks!
 A: @Perri Ma .Factor analysis won't work because it is predominantly a dimension reduction technique rather than predictive modelling. There are multiple ways to go about it 
1) Statistics : Use logistic regression the glm package in R serves that. It is the most common method used for the type of problems that you asked.
2) Machine Learning methods : Basically what you want to do is predictive classification, i.e predicting accepted or terminated. The most common methods here are SVM( Support Vector Machine), Neural Networks,Decision Trees. 
I suggests you start with building logistic regression model first then read into the machine learning methods. Even though the concepts of ML methods are bit difficult at first but there lots of packages to implement and result interpretation is quite easy
A: As mentioned, one way to solve this is through multivariable logistic regression. You can fit a model that predicts the probability of outcome (Status) from the other variables:

fit <- lrm(Status ~ Age + Tenure + Function + ...)

There are several packages that can help:  glm was already mentioned, and I like rms. Check out the documentation in rms because it has a detailed example for exactly your kind of problem, that you can work through. There are several books on logistic regression, including one by rms's author. 
