# Normality test - Error in solve.default...

I am doing the normality test with the mshapiro.test function on several of my datasets. However, in some of them, I get this error:
"Error in solve.default(R %*% t(R), tol = 1e-18) : **
** system is computationally singular: reciprocal condition number = 7.19719e-20"

In this case, I don't know if I would have to invert the matrix or what procedure to follow. My matrix is : num [1:19, 1:12]. I would really appreciate if someone could help me solve this error.

what package does that live in?

Corresponds to the mvnormtest package

It's hard to be specific without seeing your data, but probably you have columns that are exact linear combinations of one or more others, and this causes singularity error. Does that sound plausible given your data ?

It may be that, however, I am not entirely sure (I am a beginner in this field). If it is easier, I have no problem sending you the necessary information of the data to which I refer.

Ok. Use the dput() function.

Use triple backticks in the forum post to present it as code

`````````
This is code``````

Ok, is this:

``````structure(c(0.0083485491612552, 3.33856249069989e-05, 0.0688082819483789,
0.0139228043404464, -0.0480500132118702, -0.0205334000493464,
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-0.00425779226863558, -0.017877801853049, 0.0473064676140628,
0.0168557131677451), .Dim = c(19L, 12L), .Dimnames = list(c("1891 ",
"21351 ", "24298 ", "28618 ", "3413 ", "35574b ", "3727 ", "38733 ",
"38733_2 ", "43621 ", "46317 ", "47401 ", "5486 ", "6894 ", "J5326 ",
"J5327 ", "J5328 ", "K54009 ", "VPPU_64"), c("1.X", "1.Y", "2.X",
"2.Y", "3.X", "3.Y", "4.X", "4.Y", "5.X", "5.Y", "6.X", "6.Y"
)))
´´´``````

I'm thinking it may be as easy as transposing your data with

``````t()
``````

Thanks a lot! It has worked for most of my datasets, however, in two I still get the same error. Do you think I would have to apply other different that t () in this case? This would be an example:

``````structure(c(-7.19849990020692e-05, -0.00365537298934994, 0.00586514382858723,
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"r4317M ", "sin_idM ", "28433M")))
´´´``````

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