The aim of this study was to use dietary factors, including the type of fats, and animal characteristics, to predict enteric methane (CH₄) emissions from dairy cows under Canadian conditions. For this purpose, 193 individual observations from six different trials assessing the impact of dietary modification on enteric CH₄ production were analyzed. Animal [milk yield (MY), milk fat content, milk protein content, days in milk, body weight (BW), and dry matter intake (DMI)] and dietary variables [organic matter, crude protein, neutral detergent fiber (NDF), acid detergent fiber (ADF), starch, ether extract (EE), rumen-inert fat, and unprotected fat (EE – rumen-inert fat)] were tested. A 5-fold cross validation was used to obtain the following equation: CH₄ (g d^-1) = -1260.4 + 1.9 × MY (kg d^-1) + 62.8 × milk fat (%) –18.4 × milk protein (%) + 11.0 × DMI (kg d^-1) + 0.3 × BW (kg) + 58.3 × NDF (% of DM) - 0.8 × NDF² (% of DM) + 1.9 × starch (% of DM) - 2.5 × EE – rumen-inert fat (% of DM). The mean estimate from the proposed equation (474 g CH₄ cow^-1 d^-1; r = 0.83, RMSE = 40.0) was close to the observed mean emission (476 g CH₄ cow^-1 d^-1). The proposed model has a higher precision to predict CH₄ emission from cows fed typical Canadian diets than other models, and it can be used to evaluate CH₄ mitigation strategies.