How to analyze a 4x4 Latin square design?

[#1]

Hello. I am new to JMP. I am still figuring out how to do Latin square designs here. I cannot find any intuitive tutorials here or even in youtube. Here is my sample data ( I got this from Latin square design in R tutorial in Google): 

My treatment of interest is the varieties and row and column are your blocking variables.

[#2]

First, make sure that the Row and Columns use the Nominal modeling type. Second, follow these steps:

1. Select Analyze > Fit Model
2. Select Yield and click Y.
3. Select Row, Column, and Varieties, and click Add.
4. Click Run.

The Latin square design that you used is simply a one-factor design for four levels, with two blocking variables, each at four levels. This analysis should be correct.

[#3]

Small, optional but recommended addendum to the above instructions:

3.5 Change the Attribute of Row and Column to Random, as blocking factors should typically be treated as random effects, not fixed, for improved inferential properties.

[#4]

Basically just like factorial design but no interaction terms?

[#5]

There is only one factor, so there are no interaction effects.