Index: nlme/DESCRIPTION
===================================================================
--- nlme/DESCRIPTION	(revision 7616)
+++ nlme/DESCRIPTION	(working copy)
@@ -21,3 +21,4 @@
 Encoding: UTF-8
 License: GPL (>= 2) | file LICENCE
 BugReports: https://bugs.r-project.org
+URL: https://svn.r-project.org/R-packages/trunk/nlme
\ No newline at end of file
Index: nlme/man/anova.lme.Rd
===================================================================
--- nlme/man/anova.lme.Rd	(revision 7616)
+++ nlme/man/anova.lme.Rd	(working copy)
@@ -61,7 +61,7 @@
 }
 \description{
   When only one fitted model object is present, a data frame with the
-  sums of squares, numerator degrees of freedom, denominator degrees of
+  numerator degrees of freedom, denominator degrees of
   freedom, F-values, and P-values for Wald tests for the terms in the
   model (when \code{Terms} and \code{L} are \code{NULL}), a combination
   of model terms (when \code{Terms} in not \code{NULL}), or linear
@@ -71,7 +71,7 @@
   log-likelihood, the Akaike Information Criterion (AIC), and the
   Bayesian Information Criterion (BIC) of each object is returned.  If
   \code{test=TRUE}, whenever two consecutive  objects have different
-  number of degrees of freedom, a likelihood ratio statistic, with the
+  number of degrees of freedom, a likelihood ratio statistic with the
   associated p-value is included in the returned data frame.
 }
 \value{
Index: nlme/man/lme.Rd
===================================================================
--- nlme/man/lme.Rd	(revision 7616)
+++ nlme/man/lme.Rd	(working copy)
@@ -117,8 +117,8 @@
   (1982).  The variance-covariance parametrizations are described in
   Pinheiro and Bates (1996).  The different correlation structures
   available for the \code{correlation} argument are described in Box,
-  Jenkins and Reinse (1994), Littel \emph{et al} (1996), and Venables and
-  Ripley, (2002). The use of variance functions for linear and nonlinear
+  Jenkins and Reinsel (1994), Littell \emph{et al} (1996), and Venables and
+  Ripley (2002). The use of variance functions for linear and nonlinear
   mixed effects models is presented in detail in Davidian and Giltinan
   (1995).
 
@@ -136,7 +136,7 @@
   Data", Journal of the American Statistical Association, 83,
   1014--1022. 
 
-  Littel, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996)
+  Littell, R.C., Milliken, G.A., Stroup, W.W., and Wolfinger, R.D. (1996)
   "SAS Systems for Mixed Models", SAS Institute.
 
   Pinheiro, J.C. and Bates., D.M.  (1996) "Unconstrained