I am writing this code about Male Employment Data, and trying to apply classical decomposition, but I keep getting this:

Warning: 1 error encountered for classical_decomposition(Value, type = "additive")
[1] .data contains implicit gaps in time. You should check your data and convert implicit gaps into explicit missing values using `tsibble::fill_gaps()` if required.

The thing is that there are no gaps in my dataset.

Here is my full code:

# Read the CSV file
    employment <- read.csv("LNS12000001.csv")

# Convert DATE column to Date type
    employment$DATE <- as.Date(employment$DATE)

# Convert to tsibble
    male_employment <- as_tsibble(employment, index = DATE)

    male_employment <- male_employment |> rename(Value = LNS12000001)

    print(male_employment)

# Apply Classical Decomp

    male_employment |> model(classical_decomposition(Value, type = "additive")) |> components() |>  autoplot() + xlab("Year") + ggtitle("Classical additive decomposition of  US Male employment")