Table 4 Weight of each input variable in the first four principal components. The three most relevant weights of each principal component are emphasized in bold
From: Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazil
Variable | \(\mathrm{PC} _{1}\) | \(\mathrm{PC} _{2}\) | \(\mathrm{PC} _{3}\) | \(\mathrm{PC} _{4}\) |
|---|---|---|---|---|
\(x_{1}\) | 0.0108 | −0.0562 | −0.1899 | −0.2419 |
\(x_{2}\) | −0.0066 | −0.4152 | 0.2447 | −0.2238 |
\(x_{3}\) | 0.8342 | 0.0150 | −0.3281 | −0.1498 |
\(x_{4}\) | 0.5694 | 0.0761 | 0.6638 | 0.4199 |
\(x_{5}\) | −0.1176 | 1.1189 | 0.1200 | −0.4809 |
\(x_{6}\) | 0.2586 | 0.2200 | 0.9944 | −0.4558 |
\(x_{7}\) | 0.0665 | 0.2309 | −0.1545 | 1.3105 |
\(x_{8}\) | 0.1264 | −0.1882 | 0.1256 | 0.0881 |