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It’s World Statistics Day! To honor the theme of the day, the JMP User Community is having conversations about the importance of trust in statistics and data. And we want to hear from you! Tell us the steps you take to ensure that your data is trustworthy.
I am wondering whether it is possible to project new data to an existing PCA map. Per my limited knowledge with PCA map generation I do not think it is the case. But want to check with JMP community on this.
The context is that we generated a map using objective data on 20 products with 30 variables. Let's say after an year we want to project data from 3 new products with same 30 variables to the existing PCA map. Is it posisble with PCA approach? Are there any other solutions to achieve this ?
Thanks in adavance for any thoughts and suggetsions.
Click the red triangle next to Principal Components and select Save Columns > Save Principal Components. It saves the formula that multiplies the data column by the eigenvectors to obtain the score. It works with new observations.