typo in regression

doc/pub/Regression/html/._Regression-bs012.html

@@ -422,14 +422,14 @@ $$
 
 or using the matrix \( \boldsymbol{X} \) and in a more compact matrix-vector notation as
 $$
-C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)\right\}.
+C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)\right\}.
 $$
 
 This function is one possible way to define the so-called cost function.
 
 <p>
 It is also common to define
-the function \( Q \) as
+the function \( C \) as
 
 $$
 C(\boldsymbol{\beta})=\frac{1}{2n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2,

doc/pub/Regression/html/Regression-reveal.html

@@ -567,7 +567,7 @@ $$
 or using the matrix \( \boldsymbol{X} \) and in a more compact matrix-vector notation as
 <p>&nbsp;<br>
 $$
-C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)\right\}.
+C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)\right\}.
 $$
 <p>&nbsp;<br>
 
@@ -575,7 +575,7 @@ This function is one possible way to define the so-called cost function.
 
 <p>
 It is also common to define
-the function \( Q \) as
+the function \( C \) as
 
 <p>&nbsp;<br>
 $$

doc/pub/Regression/html/Regression-solarized.html

@@ -700,14 +700,14 @@ $$
 
 or using the matrix \( \boldsymbol{X} \) and in a more compact matrix-vector notation as
 $$
-C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)\right\}.
+C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)\right\}.
 $$
 
 This function is one possible way to define the so-called cost function.
 
 <p>
 It is also common to define
-the function \( Q \) as
+the function \( C \) as
 
 $$
 C(\boldsymbol{\beta})=\frac{1}{2n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2,

doc/pub/Regression/html/Regression.html

@@ -705,14 +705,14 @@ $$
 
 or using the matrix \( \boldsymbol{X} \) and in a more compact matrix-vector notation as
 $$
-C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}^T\boldsymbol{\beta}\right)\right\}.
+C(\boldsymbol{\beta})=\frac{1}{n}\left\{\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)^T\left(\boldsymbol{y}-\boldsymbol{X}\boldsymbol{\beta}\right)\right\}.
 $$
 
 This function is one possible way to define the so-called cost function.
 
 <p>
 It is also common to define
-the function \( Q \) as
+the function \( C \) as
 
 $$
 C(\boldsymbol{\beta})=\frac{1}{2n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2,

doc/src/Regression/Regression.do.txt

@@ -346,7 +346,7 @@ C(\bm{\beta})=\frac{1}{n}\sum_{i=0}^{n-1}\left(y_i-\tilde{y}_i\right)^2=\frac{1}
 or using the matrix $\bm{X}$ and in a more compact matrix-vector notation as
 !bt
 \[
-C(\bm{\beta})=\frac{1}{n}\left\{\left(\bm{y}-\bm{X}^T\bm{\beta}\right)^T\left(\bm{y}-\bm{X}^T\bm{\beta}\right)\right\}.
+C(\bm{\beta})=\frac{1}{n}\left\{\left(\bm{y}-\bm{X}\bm{\beta}\right)^T\left(\bm{y}-\bm{X}\bm{\beta}\right)\right\}.
 \]
 !et
 This function is one possible way to define the so-called cost function.
@@ -354,7 +354,7 @@ This function is one possible way to define the so-called cost function.
 
 
 It is also common to define
-the function $Q$ as
+the function $C$ as
 
 !bt
 \[