First, let's make something clear. hosts file doesn't prevent domain name resolution, it only overrides what domains resolve to.

When some program tries to resolve 101com.com, your OS would normally query DNS servers for its IP address. But, if you have it in your hosts file, then 101com.com will be resolved to provided IP without DNS query.

Domain name resolution still happens, but it's handled inside OS. All programs that try to resolve domains will receive IP addresses in response, but it will be the IP you have provided instead of DNS provided one.

101com.com is not "blacklisted", you have only redirected its traffic to your own machine (127.0.0.1).

Now, how can we explain 101com.com in netstat's output? That's pretty simple. netstat will try to reverse lookup domain names for IPs in the third column. You have defined 101com.com as a domain name for 127.0.0.1, so if you have a TCP connection from your machine (127.0.0.1) into your machine (127.0.0.1), then it can be as well shown as a connection from 101com.com to 127.0.0.1.

101com.com still exists for you, but now it points at your computer, not theirs. If your PC says something about 101com.com, it means itself.

This has nothing to do with your ISP and he has no idea you have added some entries to the hosts file.

Windows 7 lookups on first host file entry
I've 110 variables &amp; 200 data points. Of this 110 variables, one is group variable (say "brown eye","blue eye"). I want to use discriminant analysis to classify the groups based on remaining 119 variables. Since the variables are large, to get a meaningful result I need to reduce the number of variables. So, the are 3 options to me:

1) Stepwise Discriminant Analysis: I don't want to use this method as I'm biased towards it.

2) Classification Tree Method: This method will give an idea about which variables affecting the eye color. Since the dataset is small, I'm apprehensive of using this method.

3) Principal Component Method: This method I can use. But I prefer to keep the original variables.

My question is can anybody please suggest me some other method to select variables for discriminant analysis.
