ignore newline while reading files?
Apparently this [1] is a thing. Is there a way to specify to read_table or read_fwf to read X number of variables. I was hoping something like this might work. I'm not positive I got the regex right yet, but the idea is match any consecutive space even optionally followed by a newline character. I don't know if it's worth supporting, but it seems like maybe it should be.

```
url = "http://cameron.econ.ucdavis.edu/mmabook/patr7079.asc"
names = ["CUSIP", "ARDSSIC", "SCISECT", "LOGK", "SUMPAT", "LOGR70",
         "LOGR71", "LOGR72", "LOGR73", "", "LOGR74", "LOGR75", "LOGR76",
         "LOGR77", "LOGR78", "LOGR79", "PAT70", "PAT71", "PAT72", "PAT73",
         "PAT74", "PAT75", "PAT76", "PAT77", "PAT78", "PAT79"]
dta = pd.read_table(url, sep=r" *(?=\n)?", names=names)
```

[1] http://cameron.econ.ucdavis.edu/mmabook/patr7079.asc
