--- a/extra/lssa/DESCRIPTION	Fri Aug 17 10:51:51 2012 +0000
+++ b/extra/lssa/DESCRIPTION	Fri Aug 17 15:49:41 2012 +0000
@@ -1,6 +1,6 @@
 Name: lssa
-Version: 0.1.1
-Date: 2012-08-09
+Version: 0.1.2
+Date: 2012-08-17
 Author: Ben Lewis <benjf5@gmail.com>
 Maintainer: Ben Lewis <benjf5@gmail.com>
 Title: Least squares spectral analysis

--- a/extra/lssa/NEWS	Fri Aug 17 10:51:51 2012 +0000
+++ b/extra/lssa/NEWS	Fri Aug 17 15:49:41 2012 +0000
@@ -1,7 +1,12 @@
-Welcome to the first release of lssa, 0.1.1
+Summary of changes in lssa 0.1.2:
+
+ ** All functions now have input checks in place to return useful errors as
+    opposed to division by zero, etc.  Documentation has also been improved.
+
+Summary of status of the intial lssa release, 0.1.1:
 
 Current status:
- 
+
  ** lscomplex and lsreal both produce accurate results; they can be slow for
     very large datasets.
 

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/extra/lssa/ONEWS	Fri Aug 17 15:49:41 2012 +0000
@@ -0,0 +1,28 @@
+Welcome to the first release of lssa, 0.1.1
+
+Current status:
+ 
+ ** lscomplex and lsreal both produce accurate results; they can be slow for
+    very large datasets.
+
+ ** fastlscomplex is accurate for the first octave of results; there is still an
+    error I need to pin down in the merging for additional octaves. fastlsreal
+    is disabled at the moment as I move to an implementation based on the new
+    fastlscomplex.
+
+ ** lscorrcoeff works, although I'm still attempting to understand the initial
+    author's reasoning. Its generated results are relevant to any given data
+    set, but it does not appear to be normalized to any great extent.
+
+ ** There are two wavelet functions under development, but they are not included
+    in this release as they are currently not functional. For all your wavelet
+    needs, the specific transformation used is available in the lswaveletcoeff
+    function, and will generate a single cosine/sine magnitude pair (as a
+    complex number) for a complex-valued series (this function may be joined by
+    a companion for real-valued series) and can be looped to simulate a full
+    wavelet transform.
+
+ ** For all the working functions, tests have been written and formatted to
+    Octave coding standards. These tests should pass on any given architecture
+    (there was some question about that previously) and often provide examples
+    of how the function operates. For a few functions, there are demo scripts.