Corrected some syntax errors

Author: lamferzon

Presentation/Sections/PLS algorithm.tex

@@ -4,7 +4,7 @@ \section{Description of the PLS  algorithm}
 	\frametitle{NIPALS algorithm}
 	The most popular algorithm used in PLS to compute the model parameters is known as \textbf{non-iterative partial least squares} (\textbf{NIPALS}). There are two versions of this technique:
 	\begin{itemize}
-		\item \textbf{PLS1}: each of the \textit{p} predicted variables in modeled separately, resulting in one model for each class;
+		\item \textbf{PLS1}: each of the \textit{p} predicted variables is modeled separately, resulting in one model for each class;
 		\item \textbf{PLS2}: all predicted variables are modeled simultaneously.
 	\end{itemize}
 	The first algorithm is more accurate than the other, however it requires more computational time than PLS2 to find the $\alpha$ eigenvectors into which project the \textit{m} covariates.