Minor documentation update.

README.md

@@ -75,7 +75,7 @@ run `library(RSCAT)` to load and attach the package.
 In the R environment, run `launchApp()` to start the Shiny app for CAT configuration and simulation.
 
 ## Run RSCAT Shiny App in a Linux Docker Container
-Linux and Mac OS users can directly run the RSCAT Shinny app for CAT simulations in a Linux Docker container, without hassles of installation and setup. The folder "/docker" includes files used to build the RSCAT Docker image. Users need to register and download the Linux version of FICO Xpress with Community License (https://content.fico.com/xpress-optimization-community-license?utm_source=FICO-Community&utm_medium=optimization-homepage) and copy the installation tar file to "/docker". The tar file's name begins with "xp", followed by a version number, and ends with "setup.tar", e.g., "xp8.11.1_linux_x86_64_setup.tar". In the directory "/docker", the RSCAT Docker image can be built using:\
+Users can run the RSCAT Shinny app for CAT simulations in a Linux Docker container, without hassles of installation and setup. The folder "/docker" includes files used to build the RSCAT Docker image. Users need to register and download the Linux version of FICO Xpress with Community License (https://content.fico.com/xpress-optimization-community-license?utm_source=FICO-Community&utm_medium=optimization-homepage) and copy the installation tar file to "/docker". The tar file's name begins with "xp", followed by a version number, and ends with "setup.tar", e.g., "xp8.11.1_linux_x86_64_setup.tar". In the directory "/docker", the RSCAT Docker image can be built using:\
 `sudo docker build -t rscat-image . `\
 The command to run the rscat-image in a container with port 3838 exposed is:\
 `sudo docker run -dp 3838:3838 rscat-image`\