--- a/doc/interpreter/doccheck/aspell-octave.en.pws	Thu Apr 05 21:46:21 2012 -0700
+++ b/doc/interpreter/doccheck/aspell-octave.en.pws	Thu Apr 05 22:48:57 2012 -0700
@@ -66,6 +66,7 @@
 binopdf
 binornd
 Biomathematics
+bitmapped
 bitmax
 bitwise
 bivariate
@@ -830,6 +831,7 @@
 Spearman's
 speye
 spfun
+splinefit
 spmatrix
 spones
 spparms
@@ -1039,6 +1041,7 @@
 wp
 wspace
 xb
+xc
 xcorr
 xdigit
 xerrorbar
@@ -1060,6 +1063,7 @@
 xyerrorbar
 xyerrorbars
 xyz
+yc
 ydata
 yerrorbar
 yerrorbars

--- a/doc/interpreter/install.txi	Thu Apr 05 21:46:21 2012 -0700
+++ b/doc/interpreter/install.txi	Thu Apr 05 22:48:57 2012 -0700
@@ -65,13 +65,13 @@
 yourself.
 
 @menu
-* Obtaining the Depencies Automatically::
+* Obtaining the Dependencies Automatically::
 * Build Tools::
 * External Packages::
 @end menu
 
-@node Obtaining the Depencies Automatically
-@subsection Obtaining the Depencies Automatically
+@node Obtaining the Dependencies Automatically
+@subsection Obtaining the Dependencies Automatically
 
 On some systems you can obtain many of Octave's build dependencies
 automatically. The commands for doing this vary by system. Similarly,

--- a/doc/interpreter/octave.texi	Thu Apr 05 21:46:21 2012 -0700
+++ b/doc/interpreter/octave.texi	Thu Apr 05 22:48:57 2012 -0700
@@ -890,7 +890,7 @@
 
 Build Dependencies
 
-* Obtaining the Depencies Automatically::
+* Obtaining the Dependencies Automatically::
 * Build Tools::
 * External Packages::
 

--- a/doc/interpreter/poly.txi	Thu Apr 05 21:46:21 2012 -0700
+++ b/doc/interpreter/poly.txi	Thu Apr 05 22:48:57 2012 -0700
@@ -224,13 +224,13 @@
 @float Figure,fig:splinefit2
 @center @image{splinefit2,4in}
 @caption{Comparison of a piecewise constant, linear, quadratic, cubic, and
-quartic polynomials with 8 breaks to noisey data. The higher order solutions
+quartic polynomials with 8 breaks to noisy data. The higher order solutions
 more accurately represent the underlying function, but come with the
 expense of computational complexity.}
 @end float
 @end ifnotinfo
 
-When the underlying function to provide a fit to is periodice, @code{splitfit}
+When the underlying function to provide a fit to is periodic, @code{splinefit}
 is able to apply the boundary conditions needed to manifest a periodic fit.
 This is demonstrated by the code below.
 
@@ -265,9 +265,9 @@
 @end float
 @end ifnotinfo
 
-More complex constaints may be added as well. For example, the code below
+More complex constraints may be added as well. For example, the code below
 illustrates a periodic fit with values that have been clamped end point values
-and a second periodic fit wihh hinged end point values.
+and a second periodic fit with hinged end point values.
 
 @example
 @group
@@ -310,7 +310,7 @@
 The @code{splinefit} function also provides the convenience of a @var{robust}
 fitting, where the effect of outlying data is reduced.  In the example below,
 three different fits are provided.  Two with differing levels of outlier
-suppressin and a third illustrating the non-robust solution.
+suppression and a third illustrating the non-robust solution.
 
 @example
 @group
@@ -347,11 +347,11 @@
 
 @float Figure,fig:splinefit6
 @center @image{splinefit6,4in}
-@caption{Comparison of two differnet levels of robust fitting (@var{beta} = 0.25 and 0.75) to noisy data combined with outlying data. A standard fit is also included.}
+@caption{Comparison of two different levels of robust fitting (@var{beta} = 0.25 and 0.75) to noisy data combined with outlying data. A standard fit is also included.}
 @end float
 @end ifnotinfo
 
-The function, @code{ppval}, evaluates the piecewise polyomials, created
+The function, @code{ppval}, evaluates the piecewise polynomials, created
 by @code{mkpp} or other means, and @code{unmkpp} returns detailed
 information about the piecewise polynomial.
 

--- a/scripts/polynomial/splinefit.m	Thu Apr 05 21:46:21 2012 -0700
+++ b/scripts/polynomial/splinefit.m	Thu Apr 05 22:48:57 2012 -0700
@@ -58,7 +58,7 @@
 ## P+@var{order} degrees of freedom.  With periodic boundary conditions
 ## the degrees of freedom are reduced to P.
 ##
-## The optional property, @var{constaints}, is a structure specifying
+## The optional property, @var{constraints}, is a structure specifying
 ## linear constraints on the fit.  The structure has three fields, "xc",
 ## "yc", and "cc".
 ##
@@ -66,7 +66,7 @@
 ## @item "xc"
 ## x-locations of the constraints (vector) with a size identical to @var{x}.
 ## @item "yc"
-## Constaining values with a size identical to @var{y}.  The default
+## Constraining values with a size identical to @var{y}.  The default
 ## is an array of zeros.
 ## @item "cc"
 ## Coefficients (matrix).  The default is an array of ones.  The number of