lavaan ERROR: missing observed variables in dataset, Natural Resources Data

[krame...@gmail.com]

I am running an analysis to look at the impacts of Forest Openings, Deer Density and Landscape Patterns on Woody Regeneration in North-Central PA. I am a beginner at SEM, over half-way through James Grace's. I'm trying to put together preliminary model for an abstract that is due in a few weeks. Currently my model looks like this:

I currently do not have the landscape data on hand, so I tried to run the model leaving that parameter out for now. I ran the R code as:

mod1 <- 'Seedling   ~ Cover + Canopy + Deer
         Cover ~ Deer'

When I go to fit the model I get the response below:

mod1.fit <- sem(mod1, data=ESA_Data)

Error in lav_data_full(data = data, group = group, group.label = group.label,  : 
  lavaan ERROR: missing observed variables in dataset: Seedling

What am I doing wrong? Again, I'm very new so the fix may be something obviously simple, but any help is appreciated.

[Jarrett Byrnes]

What do you get from names(data)?  Your seedling variable name might be different than you think it is.

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[krame...@gmail.com]

I see, I had to transform my seedlings variable by 100 to get equal variances, and by doing so, that variable Seedling is not in the original data frame. Thanks!